1. Utilizing nanotechnology to boost the reliability and determine the vertical load capacity of pile assemblies.
- Author
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Xu, Zhijun, Wang, Zhengquan, Jianping, Du, Muhsen, Sami, Almujibah, Hamad, Abdullah, Nermeen, Elattar, Samia, Khadimallah, Mohamed Amine, Marzouki, Riadh, and Assilzadeh, Hamid
- Subjects
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CARBON nanofibers , *BUILDING foundations , *MONTE Carlo method , *NANOSENSORS , *LIE detectors & detection , *ELECTROCHEMICAL sensors - Abstract
Because of their high electrocatalytic activity, sensitivity, selectivity, and long-term stability in electrochemical sensors and biosensors, numerous nanomaterials are being used as suitable electrode materials thanks to developments in nanotechnology. Electrochemical sensors and biosensors are two areas where two-dimensional layered materials (2DLMs) are finding increasing utility due to their unusual structure and physicochemical features. Nanosensors, by their unprecedented sensitivity and minute scale, can probe deeper into the structural integrity of piles, capturing intricacies that traditional tools overlook. These advanced devices detect anomalies, voids, and minute defects in the pile structure with unparalleled granularity. Their effectiveness lies in detection and their capacity to provide real-time feedback on pile health, heralding a shift from reactive to proactive maintenance methodologies. Harvesting data from these nanosensors, data was incorporated into a probabilistic model, executing the reliability index calculations through Monte Carlo simulations. Preliminary outcomes show a commendable enhancement in the predictability of vertical bearing capacity, with the coefficient of variation dwindling by up to 12%. The introduction of nanosensors facilitates instantaneous monitoring and fortifies the long-term stability of pile foundations. This study accentuates the transformative potential of nanosensors in geotechnical engineering. • Nanosensors detect pile defects with unprecedented sensitivity. • Real-time pile health monitoring shifts to proactive maintenance. • Data from nanosensors enhance vertical bearing capacity predictability. • Monte Carlo simulations used to calculate reliability indices. • Study shows up to 12% improvement in bearing capacity accuracy. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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