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51. List of contributors

Author

Carral, Lara, primary, Chastre, Carlos, additional, Chen, Wei, additional, de Brito, Jorge, additional, Evangelista, Ana Catarina Jorge, additional, Evangelista, Luís, additional, Figueiredo, Karoline, additional, Gayarre, Fernando L., additional, Haddad, Assed, additional, Jin, Ruoyu, additional, Junior, Luiz Sarti, additional, Kalinowska, Katarzyna, additional, Kencanawati, Ni Nyoman, additional, Khalil, Nariman J., additional, Kovalchuk, Oleksandr, additional, Krivenko, Pavel V., additional, López-Colina, Carlos, additional, Martínez, Rebeca, additional, Namihira, Takao, additional, Pacheco, João, additional, Serra, Sheyla, additional, Serrano, Miguel A., additional, Shigeishi, Mitsuhiro, additional, Soares, Carlos, additional, Soomro, Mahfooz, additional, Suárez, Jesús M., additional, Tam, Vivian W.Y., additional, and Zozulynets, Victoria, additional

Published
2023
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61. Natural Weathering of GFRP Structures: Case Studies, Data Survey, and Proposal of a Moisture Conversion Factor for Durability Design.

Author

Rosa, Inês C., Castelo, André, Sousa, João M., Garrido, Mário, Correia, João R., Cabral-Fonseca, Susana, and de Brito, Jorge

Subjects
MECHANICAL behavior of materials, DYNAMIC mechanical analysis, FIBER-reinforced plastics, MEDITERRANEAN climate, COMPOSITE structures, WEATHERING
Abstract

This paper defines a conversion factor included in the European technical specification for the design of fibre–polymer composite structures that considers the effects of moisture on the mechanical properties of fiber-reinforced polymer (FRP) composites exposed to natural weathering. The first part of the paper presents a field investigation about the durability of four pultruded glass fiber–reinforced polymer (GFRP) structures in service for 11–22 years in a Mediterranean climate. Their performance was evaluated by dynamic mechanical analysis and mechanical tests on small-scale coupons. The changes of thermophysical and mechanical properties showed low-to-moderate degradation. The second part of the paper presents the design-oriented methodology to define the moisture conversion factor. The results from the experimental study and those gathered from a literature data survey on the retention of mechanical properties of FRP materials after long-term exposure to natural weathering were analyzed. Based on these data and statistical considerations, a value of 0.85 was adopted for the natural weathering moisture conversion factor. [ABSTRACT FROM AUTHOR]

Published
2024
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66. Repair Techniques

Author

de Brito, Jorge, Pereira, Clara, Silvestre, José D., Flores-Colen, Inês, de Brito, Jorge, Pereira, Clara, Silvestre, José D., and Flores-Colen, Inês

Published
2020
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67. The Way Forward

Author

de Brito, Jorge, Pereira, Clara, Silvestre, José D., Flores-Colen, Inês, de Brito, Jorge, Pereira, Clara, Silvestre, José D., and Flores-Colen, Inês

Published
2020
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68. Case Studies

Author

de Brito, Jorge, Pereira, Clara, Silvestre, José D., Flores-Colen, Inês, de Brito, Jorge, Pereira, Clara, Silvestre, José D., and Flores-Colen, Inês

Published
2020
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69. Diagnosis Methods

Author

de Brito, Jorge, Pereira, Clara, Silvestre, José D., Flores-Colen, Inês, de Brito, Jorge, Pereira, Clara, Silvestre, José D., and Flores-Colen, Inês

Published
2020
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70. Buildings’ Management

Author

de Brito, Jorge, Pereira, Clara, Silvestre, José D., Flores-Colen, Inês, de Brito, Jorge, Pereira, Clara, Silvestre, José D., and Flores-Colen, Inês

Published
2020
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71. Pathology

Author

de Brito, Jorge, Pereira, Clara, Silvestre, José D., Flores-Colen, Inês, de Brito, Jorge, Pereira, Clara, Silvestre, José D., and Flores-Colen, Inês

Published
2020
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72. Technology

Author

de Brito, Jorge, Pereira, Clara, Silvestre, José D., Flores-Colen, Inês, de Brito, Jorge, Pereira, Clara, Silvestre, José D., and Flores-Colen, Inês

Published
2020
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80. Life Cycle Prediction and Maintenance of Buildings.

Author

de Brito, Jorge, Silva, Ana, and de Brito, Jorge

Subjects
History of engineering & technology, Asset Management, Decision Support System, Digitization, Facility Condition Index, Facility Management, Gaussian mixture models, Insurance, KPIs, Key Performance Indicators, Life Cycle Assessment uncertainties, Operations Maintenance &amp, Repairs, Swedish climate zones, building, building components, building elements, building renovation, buildings, changing operational environment, climate adaptation, climate change, climate targets, conservation, construction material, degradation, degree of wear, durability, energy efficiency, energy price, energy supply system, existing structures, healthcare infrastructures, indoor climate quality, inspection, insurance premium, internal rate of return, life cycle, life cycle costs, life cycle economy, linoleum and vinyl floorings, long-term weathered, maintainability, maintenance, management, mathematical models, municipal building procurement, n/a, natural stone, natural stone claddings, operation, pathology, payback period, performance characteristics, preventive maintenance, reinforced concrete, retrofit, risk assessment, secondary databases, seismic hazard, service life, service life prediction, service life prediction models, single-family house, single-sided NMR, statistical survey, steel corrosion, strength degradation, technical condition, thermal insulation system, time-dependent reliability, water repellents
Abstract

Summary: The sustainability of the built environment can only be achieved through the maintenance planning of built facilities during their lifecycle while also considering social, economic, functional, technical, and ecological aspects. Stakeholders should be conscious of the existing tools and knowledge for the optimization of maintenance and rehabilitation actions in consideration of the degradation mechanisms and the risk of failure over time. Knowledge concerning the service life prediction of building elements is crucial to the definition, in a rational and technically informed way, of a set of maintenance strategies over the building's life cycle. Service life prediction methodologies provide a better understanding of the degradation phenomenon of the analyzed elements, enabling the relation of the characteristics of these elements and their exposure, use, and maintenance conditions with their performance over time. This SI intends to provide an overview of the existing knowledge related to various aspects of "Life Cycle Prediction and Maintenance of Buildings". Relevant topics to this Special Issue include: Methodologies for service life prediction of buildings and components; Maintainability of buildings and components; Serviceability of building elements; Maintenance and repair actions of buildings and components; Definition and optimization of maintenance policies; Financial analysis of various maintenance plans; Whole life cycle costing; Life cycle assessment.

93. List of contributors

Author

Abdulsalam, Bahira, primary, Ahmed, Hemn Unis, additional, Ajalloeian, Rassoul, additional, Al-Mansour, Ahmed, additional, Alengaram, U. Johnson, additional, Alsalman, Ali, additional, Ameri, Farshad, additional, Assi, Lateef N., additional, Atabakhsh, Erfan, additional, Behforouz, Babak, additional, Blanco, I., additional, Boroujeni, Mahdi, additional, Boudali, Sara, additional, Busari, Ayobami, additional, Carter, Kealy, additional, Chen, Xueqin, additional, Cioffi, Raffaele, additional, Colangelo, Francesco, additional, Convertino, F., additional, Cossentino, Luigi, additional, Dadsetan, Sina, additional, Das, Shaswat Kumar, additional, de Brito, Jorge, additional, Demartino, Cristoforo, additional, Dhinakaran, G., additional, Divyah, N., additional, Dong, Qiao, additional, Elkordi, A.M., additional, ElSafty, Adel, additional, Evangelista de Lara, Beatriz Leão, additional, Faleschini, Flora, additional, Faraj, Rabar H., additional, Farina, Ilenia, additional, Gajanayake, Akvan, additional, Godbout, Stephan, additional, Hadjimitsis, Diofantos, additional, Hafez, Hisham, additional, Hama ali, Hunar F., additional, Huseien, Ghasan Fahim, additional, Jamalimoghadam, Mohammad, additional, Jena, Malaya Kumar, additional, Karimzadeh, Misagh, additional, Kashani, Alireza, additional, Kazmi, Syed Minhaj Saleem, additional, Khatib, J.M., additional, Krishna, R.S., additional, Kurda, Rawaz, additional, Kyriakides, Nicholas, additional, Lachemi, Mohamed, additional, Li, Jie, additional, Li, Le, additional, Liu, Jiahan, additional, Lu, Tingfeng, additional, Machaka, M.M., additional, Mahmood, Aziz Hasan, additional, Mahmoodi, Obaid, additional, Makul, Natt, additional, Manso, Juan M., additional, Mishra, Subhabrata, additional, Moccia, Ivan, additional, Munir, Muhammad Junaid, additional, Mustakim, Syed Mohammed, additional, Neocleous, Kyriacos, additional, Olivares, Renato, additional, Ortega-López, Vanesa, additional, Palacios, Johann, additional, Panesar, Daman K., additional, Penteado, Carmenlucia Santos Giordano, additional, Petrillo, Antonella, additional, Polydorou, Thomaida, additional, Poncet, Sébastien, additional, Prakash, R., additional, Puca, Salvatore, additional, Qureshi, Tanvir S., additional, Raman, Sudharshan N., additional, Ramondo, Antonio, additional, Revilla-Cuesta, Víctor, additional, Rosado, Laís Peixoto, additional, Ruggiero, Marco, additional, Saberian, Mohammad, additional, Saffarzadeh, Amirhomayoun, additional, Şahmaran, Mustafa, additional, Sahu, Trilochan, additional, Salzano, Cinzia, additional, Scarascia-Mugnozza, G., additional, Schettini, E., additional, Shah, Kwok Wei, additional, Sherwani, Aryan Far H., additional, Shoaei, Parham, additional, Siad, Hocine, additional, Silvestre, José, additional, Skaf, Marta, additional, Soliman, Ahmed, additional, Subramanian, C., additional, Travaglioni, Marta, additional, Tripathy, Ankit Kumar, additional, Vivek, S.S., additional, Vox, G., additional, Wang, Jiyang, additional, Wu, Yu-Fei, additional, Xia, Jin, additional, Xu, Jinyi, additional, Zanini, Mariano Angelo, additional, Zareei, Seyed Alireza, additional, Zeng, Qiang, additional, Zhang, Guomin, additional, Zhang, Jingxuan, additional, Zhang, Runxiao, additional, and Ziehl, Paul, additional

Published
2022
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95. Eurocode 2 design of recycled aggregate concrete elements under compression: Evaluation through model uncertainties from tests on columns.

Author

Knapcová, Veronika, Pacheco, João, de Brito, Jorge, and Sonnenschein, Robert

Subjects
RECYCLED concrete aggregates, MINERAL aggregates, CONSTRUCTION & demolition debris, CONCRETE waste, CONCRETE columns, COMPOSITE columns
Abstract

Recycled aggregate concrete contributes to the recovery of construction and demolition waste, which is a growing societal concern. The technical feasibility of recycled aggregate concrete has been extensively tested and validated and the revisions of codes are already including clauses for recycled aggregate concrete specification and design. However, there are still doubts regarding its structural behavior. This article assesses the suitability of Eurocode 2 design clauses for concrete elements under compression when used for recycled aggregate concrete design. This is done through the analysis of model uncertainties that are estimated from a database collected from laboratory experiments on columns. Both the current version of Eurocode 2 (with and without taking confinement into account) and the upcoming (second generation) Eurocode 2 are considered. A database was collected with clearly defined criteria and includes coarse recycled aggregates produced from concrete waste, since columns made with other types of recycled aggregates are scarcely tested and do not represent the current status for structural recycled aggregate concrete design and production. The statistics of the model uncertainty for natural and recycled concrete columns were compared and it was observed that the mean model uncertainty tends to decrease slightly when recycled aggregates are used. However, a preliminary assessment of whether a partial factor for recycled aggregate concrete compression design should be used concluded that this partial factor is not necessary to ensure reliable design and the design of columns may be carried out using the same formulae used for conventional concrete. The format proposed may be used for other resistance models, provided that the partial factor is calibrated for each resistance model. [ABSTRACT FROM AUTHOR]

Published
2024
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