Self-centering structures against earthquakes: a critical review

C Fang, C Qiu, W Wang, MS Alam - Journal of Earthquake …, 2023 - Taylor & Francis
With critical lessons drawn from past major earthquakes, the engineering community is
appealing for a fundamental shift in the existing design philosophy for structures in seismic …

Recent advances in the applications of shape memory alloys in civil infrastructures: A review

S Zareie, AS Issa, RJ Seethaler, A Zabihollah - Structures, 2020 - Elsevier
Abstract Shape Memory Alloys (SMAs) are a new generation of smart materials with the
capability of recovering their predefined shape after experiencing a large strain. This is …

[HTML][HTML] Shape memory alloy reinforcement for strengthening and self-centering of concrete structures—State of the art

S Raza, B Shafei, MS Saiidi, M Motavalli… - … and Building Materials, 2022 - Elsevier
The degradation of reinforced concrete (RC) structural components owing to aging
mechanisms and extreme loading events can cause significant performance and safety …

Prediction of failure modes, strength, and deformation capacity of RC shear walls through machine learning

H Zhang, X Cheng, Y Li, X Du - Journal of Building Engineering, 2022 - Elsevier
Shear walls are typically the major lateral load-carrying components in high-rise buildings
owing to their high lateral strength and stiffness. This study introduces a technique for …

Cyclic tension–compression behavior of superelastic shape memory alloy bars with buckling-restrained devices

B Wang, S Zhu - Construction and Building Materials, 2018 - Elsevier
Shape memory alloys (SMAs) show great potential in seismic applications because of their
appealing superelastic feature and good energy dissipation capacity. The tensile behavior …

Integrating automated machine learning and interpretability analysis in architecture, engineering and construction industry: A case of identifying failure modes of …

D Liang, F Xue - Computers in Industry, 2023 - Elsevier
Abstract Machine learning (ML) has been recognized by researchers in the architecture,
engineering, and construction (AEC) industry but undermined in practice by (i) complex …

Shear strength estimation of reinforced concrete walls using support vector regression improved by Teaching–learning-based optimization, Particle Swarm …

P Parsa, H Naderpour - Journal of Building Engineering, 2021 - Elsevier
Peak shear strength estimation of RC shear walls is one of the influential parameters on the
design of RC shear walls. Considering all models and equations provided by researchers …

Developing a library of shear walls database and the neural network based predictive meta-model

MJ Moradi, MA Hariri-Ardebili - Applied Sciences, 2019 - mdpi.com
There is a large amount of useful information from past experimental tests, which are usually
ignored in test-setup for the new ones. Variation of assumptions, materials, test procedures …

Development and preliminarily tests of superelastic Ni-Ti SMA ribbed bars for reinforced concrete applications

Y Shi, X Wang, H Qian, H Zhao, P Wu, L Kang… - … and Building Materials, 2023 - Elsevier
The research on superelastic shape memory alloy (SMA) bars reinforced concrete members
and structures has received a great deal of attention recent years. In this study, novel …

Seismic collapse safety and response modification factor of concrete frame buildings reinforced with superelastic shape memory alloy (SMA) rebar

KN Siddiquee, AHMM Billah, A Issa - Journal of Building Engineering, 2021 - Elsevier
Seismic performance of concrete frame buildings reinforced with superelastic Shape
Memory Alloy (SMA) rebar is evaluated in terms of Collapse Margin Ratio (CMR). CMR is …