Search

The large-scale use and release of antibiotics may create selective pressure on antibiotic resistance genes (ARGs), causing potential harm to human health. River ecosystems have long been considered repositories of antibiotics and ARGs. Therefore, the distribution characteristics and seasonal variation in antibiotics and ARGs in the surface water of the main stream and tributaries of the Chishui River were studied. The concentrations of antibiotics in the dry season and rainy season were 54.18-425.74 ng/L and 66.57-256.40 ng/L, respectively, gradually decreasing along the river direction. The results of antibiotics in the dry season and rainy season showed that livestock and poultry breeding were the main sources in the surface water of the Chishui River basin. Risk assessments indicated high risk levels of OFL in both seasons. In addition, analysis of ARGs and microbial community diversity showed that sul1 and sul3 were the main ARGs in the two seasons. The highest abundance of ARGs was 7.70 × 10

Cement-based sensors with magneto-aligned nickel fillers have the proven capability to significantly enhance piezoresistivity compared with the sensors with randomized fillers. In this paper, the influence of particle morphology and concentration of nickel particles on the piezoresistive and mechanical properties of cement-based sensors, treated with and without magnetic field intervention, are investigated experimentally. Five categories of nickel particles with different average diameters are type N50 (50 nm), N500 (0.5 μm), F(1 μm × 20 μm flake), T (5 μm) and U (25 μm). The obtained results indicate that the application of magnetic field enhances most of the piezoresistive performance and yields best piezoresistivity for the samples with type T nickel powder. Anisotropic piezoresistivity can be achieved under a very low filler content (0.1 vol%) in N50 nano-scale nickel powder and cement composite, followed by the N500 and T nickel particles in 5 vol% content. Small particles with lower content have similar piezoresistive performance to the samples with large particles and higher concentration. One half of the samples can achieve high giant gauge factor (GF) of over 500, two-thirds of which are aligned by magnetic field with anisotropic piezoresistive property. Samples with 5 vol% type T nickel content has the highest GF value, followed by the sample with 5 vol% type F nickel flakes and 10 vol% type U nickel powder. It is also found that mechanical strength decreases with the increase of particle concentration.

With high flexibility and low damping, offshore wind turbines (OWTs) are prone to external vibrations such as wind, wave and earthquake, either attacked individually or as combined loading cases. This study proposes a semi-active variable-stiffness tuned mass damper (VSTMD) with magnetorheological elastomer (MRE) materials to mitigate undesired dynamic responses of OWT. A jacket supported OWT with MRE-TMD installed at the top of the tower is adopted as an example to demonstrate the effectiveness of the proposed design under multiple hazards. A semi-active frequency tracing algorithm is proposed through which the current-dependent stiffness of MRE-TMD is controlled by tracking the acceleration of OWT tower. The numerical results demonstrate that the semi-active MRE-TMD can effectively attenuate the dynamic responses of OWT under multi-hazard loadings, and it outperforms the passive TMD in reducing the peak and RMS displacements of tower structure. Robustness analysis of semi-active MRE-TMD is also validated by considering OWT sudden loss of partial stiffness under multiple-loadings.

In this study, the toxic effect of high ammonia on microalgae Tetraselmis cordiformis and the detoxification of phytohormones were researched. The growth, physiological changes, and gene transcription of T. cordiformis were examined. Malondialdehyde content was increased by 2.12 times compared with the control, suggesting the oxidative damage of T. cordiformis. However, the damaging effect of ammonia stress was significantly alleviated by exogenous phytohormones revealed by photosynthetic activity, antioxidant capacity, and nitrogen metabolism. Compared with cells exposed to 500 mg L−1 ammonia (NH4+-N), phytohormones increased the transcript abundance of photosynthesis-related gene (rbcL) by up to 10.95 times. Besides, after adding phytohormones, maximum activities of the antioxidant enzyme catalase (CAT) and nitrogen metabolism-related enzyme glutamine synthetase (GS) were 2.17 and 6.72 times that of the cells exposed to 500 mg L−1 NH4+-N. This study displayed the toxic mechanism of high ammonia on T. cordiformis, and also proved the detoxification of phytohormones.

In this paper, a “smart” base isolation strategy is proposed in this study utilising a semi-active magnetorheological elastomer (MRE) isolator whose stiffness can be controlled in real-time and reversible fashion. By modulating the applied current, the horizontal stiffness of the MRE isolator can be controlled and thus the control action can be generated for the isolated structure. To overcome the inherent nonlinearity and hysteresis of the MRE isolator, radial basis function neural network based fuzzy logic control (RBF-NFLC) was developed due to its inherent robustness and capability in coping with uncertainties. The NFLC was optimised by a non-dominated sorting genetic algorithm type II (NSGA-II) for better suited fuzzy control rules as well as most appropriate parameters for the membership functions. To evaluate the effectiveness of the proposed smart base isolation system, four scenarios are tested under various historical earthquake excitations, i.e. bare building with no isolation, passive isolated structure, MRE isolated structure with Bang-Bang control, MRE isolated structure with proposed NFLC. A three-storey shear building model was adopted as the testing bed. Through the testing results, limited performance of passive isolation system was revealed. In contrast, the adaptability of the proposed isolation strategy was demonstrated and it is proven that the smart MRE base isolation system is able to provide satisfactory protection for both structural and non-structural elements of the system over a wide range of hazard dynamic loadings.

Anaerobic co-digestion of excess sludge (ES) and different varieties of rice straw including indica rice straw (IRS), japonica rice straw (JRS) and glutinous rice straw (GRS) was investigated in batch and semi-continuous experiments. The batch experiment results showed that the GRS addition presents the highest hydrolysis and methanogenesis rates, its cumulative methane yield (CMY) was 305.75 mL/g VS and its average methane content was 60.56%. After digestion, the structure of GRS was almost completely destroyed, which was beneficial to the degradation of lignocellulose. The digestive process is affected by the abundance of Actinobactereria, Proteobacteria, Methanosaetae and Methanosarcina. The results of semi-continuous digestion were similar to batch digestion. In addition, the addition of GRS increased TN concentration in biogas residue and TP concentration in biogas slurry, but was not conducive to the subsequent dehydration of sludge.

In this study, g-C3N4/NH2-MIL-88B(Fe) (MCN-x) heterostructures were successfully prepared using a facile solvothermal method. MCN-x composites exhibit excellent degradation performance toward ofloxacin in aqueous solution under visible light (λ > 420 nm). The photodegradation rate of ofloxacin by MCN-60 under visible light reaches 96.5% in 150 min, and the apparent first-order kinetics rate constant reaches 0.0217 min−1, 3.7 and 4.7 times that of pristine g-C3N4 and NH2-MIL-88(Fe), respectively. This decent photocatalytic performance is principally attributed that the introduction of g-C3N4 can notably promote the separation of photogenerated electron-hole pairs. Besides, the photocatalytic efficiency and structure of the MCN-60 composite basically show no change after three reuse cycles. Furthermore, trapping experiments and ESR analyses confirm that the O2– radical has a more dominant role than OH and holes (h+). The ofloxacin degradation mechanism and pathway are predicted by density functional theory (DFT) calculations and an intermediate analysis. Quantitative structure–activity relationship (QSAR) predictions reveal that the ofloxacin photocatalytic degradation process can reduce toxicity in a step-by-step manner. MOF-based materials have been confirmed to show high potential for practical application in removing emerging pollutants from wastewater.

Cement-based sensors, consisting of a cementitious matrix filled with electrically conductive fillers, are one of the most promising sensing composites to monitor and track the status of structural systems continuously. This study proposes a new type of cement-based sensor with a unique anisotropic conductive chains activated by magnetically aligned nickel particles in a chain form structure. The piezoresistivity is significantly enhanced along the direction of the chain structure and the gauge factor ranges from 2491 to 3626, providing the sensors with excellent piezoresistivity and sensitivity. In the meantime, the usage of nickel particles drops significantly compared to the composites with randomly dispersed nickel particles. To explore its potential in engineering applications, the developed sensors are embedded in the compression zone of a beam structure. Three-point-bending test result shows that under same condition, the anisotropic sensors exhibits superior piezoresistive performance and higher sensitivity than the isotropic sensors.

The advanced treatment of secondary effluent was conducted in a two-stage deep sequencing constructed wetland (DSCW) which comprised a denitrification chamber (W1) and a nitrification chamber (W2). The results showed that a superior NO3--N removal rate was observed in W1 with a C/N ratio of 6.5, and a high NH4+-N removal rate was obtained when the W2 was operated with 6-h duration of idle. In the long-term operation for 45days, the two-stage DSCW pilot system achieved high and stable removal of TN, NH4+-N and NO3--N, which were 92.9%, 83.7% and 95.6% in average, respectively. The microbial communities between W1 and W2 were significant different. Rich diversity of the microbial community and the high proportion of denitrifying bacteria in the W1 were essential for nitrogen removal in this treatment system. AOB in the W2 played a major role in NH4+-N removal in W2.

Photocatalytic degradation of sulfamonomethoxine (SMM) by mesoporous phosphorus-doped TiO2 (P–TiO2) was studied under simulated solar light irradiation. The morphological structure and chemical composition of P–TiO2 were analyzed by XRD, SEM, HRTEM, BET, XPS and FTIR. Using the central composite design (CCD) of response surface methodology (RSM), the degradation of SMM was investigated with a range of antibiotic concentrations (4–8 mg L−1), catalyst dosages (400–900 mg L−1), P doping amounts (5–15 wt %) and irradiation time (90–150 min). The Ti–O–P bond formed during the calcination of TiO2, thereby generating plate-like P–TiO2, where P was uniformly distributed. Phosphorus doping can stabilize anatase TiO2, which has a larger specific surface area and a lower average particle and pore size than bare TiO2. The result obtained from the RSM model showed a significant correlation between the predicted values and the experimental results of SMM degradation (P

Nowadays, the integration of multiple functions such as harvesting clean energy and electromagnetic protection into single material has attracted great interest. Herein, a stretchable composite foam-based triboelectric nanogenerator (CF-TENG) with tunable microwave absorption (MA) capacity was developed by assembling self-foaming polyurethane (PU), tadpole-like CNTs@Fe3O4 nanoparticles (NPs) and conductive wires. The CF-TENG with a volume of ∅120 mm × 3 mm can generate a maximum output power of 147.9 μW, corresponding to a power density of 1.3 µW/cm2 and easily illuminate 35 commercial light-emitting diodes (LEDs) under periodically vertical contact and separation mode, which exhibits high efficiency in energy-harvesting. Besides, the excellent MA properties and relevant mechanisms at elevated temperatures from 253 K to 333 K were investigated in detail. With an ultralow filler loading of 15 wt%, the minimum reflection loss (RLm) value at 253 K could reach −68.5 dB at 10.97 GHz and effective absorption bandwidth (EAB) below −10 dB achieved 4.37 GHz at a thickness of 2.55 mm. Temperature rise would be conducive to broadening the EAB and shifting the matching frequency towards a higher frequency band. Such a remarkable MA performance originated mainly from the dielectric-magnetic dual loss, well-matched impedance, and multiple reflections. To this end, this CF-TENG with electromagnetic protection property combining the ability to scavenge mechanical energy from ambient vibrations opens a new set of prospective applications in wearable electronics and the next-generation energy systems under invisible harsh environments.

Installing adaptive negative stiffness devices (ANSD) on multiple storeys of a building structure to develop a smart seismic protection system, namely multi-storey adaptive negative stiffness system (MANSS), is an effective approach to mitigate the structural responses under earthquake events. However, like other base isolators , the MANSS cannot reach its full potential to address the contradiction between effective vibration isolation and suppression, due to improper setting of structural parameters. In this paper, a comprehensive multi-objective nonlinear optimisation for obtaining the optimal structural parameters of the ANSD is conducted to effectively improve the performance of MANSS on seismic protection. After the characteristic analysis of the ANSD, six optimisation variables and one constraint are determined. Four objective functions are defined by considering the two adverse requirements simultaneously, i.e. enhancing vibration isolation and improving vibration suppression. The highly nonlinear optimisation problem can be adequately resolved by the modified non-dominated sorting genetic algorithm type II (NSGA-II) with dynamic crowding distance (DCD) algorithm, which generates a series of Pareto front , hence obtaining the optimal parameter combination. Furthermore, to verify and evaluate the feasibility and capacity of the proposed optimisation method, a numerical case study is conducted based on a five-storey benchmark building model subjected to six different earthquakes. Four systems, including bare building, bare building with ANSD on the first floor, bare building with dampers on each floor and preliminarily designed MANSS are also investigated to conduct comparative analysis. The results demonstrate that the optimised MANSS can largely reduce both peak and root mean square (RMS) values of inter-storey drift, acceleration, and displacement responses of the benchmark building under all six earthquakes, which proves the effectiveness and superiority of the proposed optimisation method and the optimised MANSS.

The interaction between drugs and biomacromolecule such as proteins has always been a research hotspot in the field of intersections. After the drugs entering the human body, they undergo pharmacological effects through the storage and transportation of plasma. Serum albumin is the most rich and important carrier in plasma. Therefore, it is of great significance to study the interaction between drugs and protein molecules for elucidating drug delivery and pharmacological action in vivo. This research is mainly to explore the affinities of these four coumarins (fraxin, fraxetin, esculin, and esculetin) with human serum albumin (HSA), and the binding strength and the effect of molecular structure on the binding of molecular-protein complex were compared. Initially, we used spectroscopic methods to analyze the affinity, interaction mechanism, and relationship between structure and activity of these coumarins binding to HSA. Subsequently, the four coumarin ligands were molecularly docked with HSA using docking tools such as AUTODOCK and CDOCKER. With the addition of coumarins, the fluorescence of HSA weakened gradually. For the HSA-coumarins system, the Van't Hoff equation and docking results indicated that hydrogen bond and hydrophobic interaction were the main ways in which the four coumarins combined with HSA. The circular dichroism (CD) and 3D fluorescence experiments proved that the conformation of HSA was changed by the addition of coumarins. Through calculation, the distance r between HSA and fraxin/fraxetin/esculetin/esculin were 2.222, 2.092, 2.673, and 2.939 nm, respectively. Fluorescence spectroscopy and Stern-Volmer formula indicated that the order of interaction energy and binding strength between coumarins and HSA were as follows: esculin > fraxin > fraxetin > esculetin. This work compared the interaction mechanisms between four differences structured coumarins with HSA and the effect of their structural differences on the binding with HSA. It also provided valuable information for the development of coumarin drug delivery systems.

Magnetorheological gel (MRG) is known as an aspiring controllable composite which exhibit rapid and reversible structural changes subjected to magnetic fields. Its rheological manifestation of the structural changes induced by both the shearing flow and the magnetic field is the varying in viscosity or shear stress. This effect is called thixotropy if the structural changes are reversible and time dependent. In this study, time dependent rheological properties were characterised by a proposed stepwise experiment which revealed the effects of shear rate, magnetic field, and resting time on the structural break-down and rebuilding in MRG. The results indicated up to 15% decrease in the shear stress of MRG under the constant shear rate of 6000 1/s within 5 s. 4 s and 30 s of resting allows approx. 50% and 98% recoveries of the reversible structural change, respectively. The application and intensifying of magnetic fields tend to increase thixotropic yield stress but decrease the fluctuation state. A simple model was formulated to capture the unique time dependent structural changes of MRG under constant shear flow and magnetic field; and, showed accurate predictions of the thixotropic responses of MRG under the magnetic fields, shear rates and resting time considered.

Methanotrophs can oxidize methane as the sole carbon and energy, and the resulting intermediate products can be simultaneously utilized by coexistent denitrifying bacteria to remove the nitrogen, which named Aerobic Methane Oxidation Coupled to Denitrification (AME-D). In this paper, an AME-D system was built in an improved denitrification bio-filter, to analyze the nitrogen removal efficiency and mechanism. The maximum TN removal rate reached 95.05%. As shown in Raman spectroscopy, in the effluent wave crests generated by the symmetric expansion and contraction of NO3- disappeared, and the distortion of olefin CH2 and C-OH stretching of alcohols appeared. Metagenomics revealed Methylotenera and Methylobacter were the dominated methanotrophs. There was a completed methane and nitrogen metabolism pathway with the synergism of nxrAB, narGHI, nasAB, pmo-amoABC and mmo genes. Dissimilatory reduction pathway was the primary nitrate removal pathway. Moreover, Bradyrhizobium could participate in methane and nitrogen metabolism simultaneously.

Objectives Given the role of exposures related to residence in the development of nasopharyngeal carcinoma (NPC) has not been well explored, present study aims to investigate the magnitude and pattern of associations for NPC with lifelong residential exposures. Materials and Methods We carried out a multi-center, population-based case-control study with 2533 incident NPC cases and 2597 randomly selected population controls in southern China between 2010 and 2014. We performed multivariate logistic regression to estimate odds ratios (ORs) with 95% confidence intervals (CIs) for the risk of NPC associated with residential exposures. Results Compared with those living in a building over lifetime, risk of NPC was higher for individuals living in a cottage (OR: 1.56; 95% CI: 1.34–1.81) or in a boat (3.87; 2.07–7.21). NPC risk was also increased in individuals using wood (1.34; 1.03–1.75), coal (1.70; 1.17–2.47), or kerosene (3.58; 1.75–7.36) vs. using gas/electricity as cooking fuel; using well water (1.57; 1.34–1.83), river water (1.80; 1.47–2.21), or spring/pond/stream water (2.03; 1.70–2.41) vs. tap water for source of drinking water; living in houses with smaller-sized vs. larger windows in the bedroom (3.08; 2.46–3.86), hall (1.89; 1.55–2.31) or kitchen (1.67; 1.34–2.08); and increasing exposure to cooking smoke [(1.53; 1.20–1.94) for high exposure)] or burned incense [(1.59; 1.31–1.95) for daily use)]. Weighted Cox regression analysis corroborated these results. Conclusion Poorer residential conditions and household air pollution are associated with an increased risk of NPC. Large-scale studies in other populations or longitudinal studies are warranted to further corroborate these findings.

Magnetorheological elastomer (MRE) base isolations have attracted considerable attention over the last two decades thanks to its self-adaptability and high-authority controllability in semi-active control realm. Due to the inherent nonlinearity and hysteresis of the devices, it is challenging to obtain a reasonably complicated mathematical model to describe the inverse dynamics of MRE base isolators and hence to realise control synthesis of the MRE base isolation system. Two aims have been achieved in this paper: i) development of an inverse model for MRE base isolator based on optimal general regression neural network (GRNN); ii) numerical and experimental validation of a real-time semi-active controlled MRE base isolation system utilising LQR controller and GRNN inverse model. The superiority of GRNN inverse model lays in fewer input variables requirement, faster training process and prompt calculation response, which makes it suitable for online training and real-time control. The control system is integrated with a three-storey shear building model and control performance of the MRE base isolation system is compared with bare building, passive-on isolation system and passive-off isolation system. Testing results show that the proposed GRNN inverse model is able to reproduce desired control force accurately and the MRE base isolation system can effectively suppress the structural responses when compared to the passive isolation system.

© 2016 Elsevier B.V. Parameter optimization of support vector regression (SVR) plays a challenging role in improving the generalization ability of machine learning. Fruit fly optimization algorithm (FFOA) is a recently developed swarm optimization algorithm for complicated multi-objective optimization problems and is also suitable for optimizing SVR parameters. In this work, parameter optimization in SVR using FFOA is investigated. In view of problems of premature and local optimum in FFOA, an improved FFOA algorithm based on self-adaptive step update strategy (SSFFOA) is presented to obtain the optimal SVR model. Moreover, the proposed method is utilized to characterize magnetorheological elastomer (MRE) base isolator, a typical hysteresis device. In this application, the obtained displacement, velocity and current level are used as SVR inputs while the output is the shear force response of the device. Experimental testing of the isolator with two types of excitations is applied for model performance evaluation. The results demonstrate that the proposed SSFFOA-optimized SVR (SSFFOA_SVR) has perfect generalization ability and more accurate prediction accuracy than other machine learning models, and it is a suitable and effective method to predict the dynamic behaviour of MRE isolator.

Cometabolism technology was employed to degrade lincomycin wastewater in Sequencing Batch Biofilm Reactor (SBBR). In contrast with the control group, the average removal rate of lincomycin increased by 56.0% and Total Organic Carbon (TOC) increased by 52.5% in the cometabolic system with glucose as growth substrate. Under the same condition, Oxidation-Reduction Potential (ORP) was 85.1±7.3mV in cometabolic system and 198.2±8.4mV in the control group, indicating that glucose changed the bulk ORP and created an appropriate growing environment for function bacteria. Functional groups of lincomycin were effectively degraded in cometabolic system proved by FTIR and GC-MS. Meanwhile, results of DGGE and 16S rDNA showed great difference in dominant populations between cometabolic system and the control group. In cometabolic system, Roseovarius (3.35%), Thiothrix (2.74%), Halomonas (2.49%), Ignavibacterium (2.02%), and TM7_genus_incertae_sedis (1.93%) were verified as dominant populations at genus level. Cometabolism may be synergistically caused by different functional dominant bacteria.

Objectives The purpose of this study was to analyze clinical features and related factors of poststroke pathological laughing and crying (PSPLC) and to differentiate PSPLC patients with and without pseudobulbar signs. Methods We performed a case–control study in which 56 patients with PSPLC were matched to 56 control stroke patients by age and gender. The pathological laughing and crying scale was used to identify patients with PSPLC. Characteristics of PSPLC outbursts, presence of pseudobulbar signs and autonomic symptoms, lesion locations, and different clinical data were analyzed. Mild cognitive impairment (MCI) was evaluated by the Montreal Cognitive Assessment. Poststroke anger proneness (PSAP) was evaluated by comparison of the patients' premorbid states. Results Significantly more patients in the PSPLC group showed MCI, PSAP, and pseudobulbar signs than those in the control group. Most patients with PSPLC showed bilateral multiple lesions and the pons (especially the bilateral paramedian basal and basal–tegmental areas) stood out as the most important lesion location. Logistic regression analysis showed that pontine lesion, MCI, and PSAP were independently related to PSPLC; however, the presence of pseudobulbar signs was not related. PSPLC patients with pseudobulbar signs showed more recurrent strokes in the previous 2 years, more severe neurological deficits, as well as higher severity of PSPLC. In addition, more patients in the group with pseudobulbar signs showed concomitant autonomic symptoms. Conclusions PSPLC, MCI, and PSAP could be manifestations of a more general disorder, in which pontine lesion plays an important role. PSPLC patients with pseudobulbar signs and those without show different features.

Magnetorheological gel (MRG) excels in the material properties in term of adjustability and sedimentation performance, which could upgrade the performances of the current magnetorheological fluid based adjustable devices for structural control and vibration mitigation. However, the characterization and modelling of the stress-strain hysteresis responses of MRG has not been reported in the past, which are fundamental steps towards engineering applications. In this study, the stress-strain hysteresis of polyurethane based MRG sample with 60% carbonyl iron particle weight fraction was characterized under sinusoidal shear excitations with broad ranges of strain amplitude (5%–100%), excitation frequency (0.1 Hz–2 Hz) and magnetic fields (0–0.91 T). Significant stress overshooting phenomenon were observed under the application of low magnetic fields (0.27 T). A structurally-simple and accurate phenomenological model has been established to capture this unique nonlinearity. By validating the experimental results, the proposed model accurately predicts the hysteretic behaviour and the overshoot of the MRG under the excitation scenarios and the magnetic fields considered. Finally, the support vector machine (SVM) was implemented to provide the solution to the model generalization. The SVM-assisted model showed good agreement with the experimental data and can benefit the efficiency and viability in developing controllable MRG-based devices and system.

Advanced sewage treatment by microalgae is regarded as a promising method for addressing eutrophication. To improve sewage treatment, three kinds of plant hormones including auxin (indole-3-acetic acid, IAA), cytokinin (Zeatin), and brassinosteroid, were chosen to measure the influence of plant hormones on nitrogen and phosphorus removal by Tetraselmis cordiformis and to analyze their mechanisms, including photosynthesis, nutrient metabolism, and gene transcription. The results indicated that the maximal removal efficiencies of total nitrogen and phosphate by T. cordiformis were elevated by the plant hormones by 184.3% and 53.2%, respectively. The chlorophyll a content was increased by 1.1 times by the plant hormones in comparison with the control. Moreover, after being stimulated by plant hormones, the activities of nitrate reductase (NR) and glutamine synthetase (GS) increased by 90.4% and 82.1%, respectively, in comparison with the control. Supplementation with plant hormones also significantly elevated the mRNA expression level of GS-related gene by 30.9%. This study demonstrated that plant hormones could significantly promote the nutrient removal of microalgae for sewage treatment in artificial laboratory conditions and provided theoretical support for its further practical full-scale application under variable conditions.

Self-sensing concrete combines electrically conductive filler material and conventional building material together, and is able to realise a sensing function that by measuring the change of electrical properties of the composite under external loading, the stress, deformation and damage could be monitored. It has the advantages of high sensitivity, long service period, excellent compatibility, durability and mechanical strength, and low maintenance cost, and can be potentially applied in structure health monitoring, weight in motion, traffic detection, parking management and many other fields. This paper overviews the details of the composition and role of each component, the fabrication method and the mechanism of the self-sensing concrete. The future prospects are discussed at the end of the paper.

The nozzle/diffuser flow with different Reynolds number ranges and conical angles is analyzed first. It is found that the flow coefficients of nozzle/diffuser ξn and ξd vary with angle with different trends for large (> 105) and small (