Evaluation of the seismic performance of a multi-coil MR damper using non-linear method DOI
Daniel Cantero, S. Vivekananda Sharma,

Hemalatha Gladston

et al.

Structures, Journal Year: 2024, Volume and Issue: 70, P. 107555 - 107555

Published: Oct. 25, 2024

Language: Английский

Investigating seismic performance of a novel self-centering shear link in EBF utilizing experimental and numerical simulation DOI
Shujun Hu, Shangwen Liu,

Sizhi Zeng

et al.

Journal of Constructional Steel Research, Journal Year: 2024, Volume and Issue: 224, P. 109129 - 109129

Published: Nov. 5, 2024

Language: Английский

Citations

17
Sustainability and resilience-driven prioritisation for restoring critical infrastructure after major disasters and conflict DOI Creative Commons
Nadiia Kopiika, Roberta Di Bari, Sotirios Argyroudis

et al.

Transportation Research Part D Transport and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 104592 - 104592

Published: Jan. 1, 2025

Language: Английский

Citations

4
Modelling and assessing long-term urban transportation system resilience based on system dynamics DOI
Nanxi Wang, Min Wu, Kum Fai Yuen

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 109, P. 105548 - 105548

Published: May 22, 2024

Language: Английский

Citations

11
Cause-agnostic bridge damage state identification utilising machine learning DOI Creative Commons
Athanasia K. Kazantzi,

Sokratis Moutsianos,

Konstantinos Bakalis

et al.

Engineering Structures, Journal Year: 2024, Volume and Issue: 320, P. 118887 - 118887

Published: Sept. 4, 2024

Citations

8
Model Test and Numerical Simulation for Tunnel Leakage-Induced Seepage Erosion in Different Strata DOI Creative Commons
Qihao Sun, Wouter De Corte,

Xian Liu

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(9), P. 3908 - 3908

Published: May 3, 2024

Leakage in underground structures, especially tunnels, may cause seepage erosion the surrounding soil, which turn leads to ground subsidence, posing a great threat urban safety. The current literature mainly focuses on sand but lacks systematic study development process of induced by tunnel leakage different strata. To investigate modes stratum types, series reduced-scale model tests were carried out. A coupled fluid–solid numerical was further established analyze fine-scale characteristics modes. results show that (1) soil can be divided into three categories: no cave, unstable and stable cave; (2) adopted based DEM, takes account degradation clay during erosion, effectively simulate with modes; (3) phenomena are development; (4) micro-mechanisms different, manifested range, arching effect, displacement.

Language: Английский

Citations

4
GRNN-based cascade ensemble model for non-destructive damage state identification: small data approach DOI Creative Commons
Ivan Izonin, Athanasia K. Kazantzi, Roman Tkachenko

et al.

Engineering With Computers, Journal Year: 2024, Volume and Issue: 41(1), P. 723 - 738

Published: Aug. 21, 2024

Abstract Assessing the structural integrity of ageing structures that are affected by climate-induced stressors, challenges traditional engineering methods. The reason is degradation often initiates and advances without any notable warning until visible severe damage or catastrophic failures occur. An example this, conventional inspection methods for prestressed concrete bridges which fail to interpret large permanent deflections because causes—typically tendon loss—are barely measurable. In many occasions, inspections discern these latent defects damage, leading need expensive continuous health monitoring towards informed assessments enable appropriate interventions. This a capability gap has led fatalities extensive losses operators have very little time react. study addresses this proposing novel machine learning approach inform rapid non-destructive assessment bridge states based on measurable deflections. First, comprehensive training dataset assembled simulating various plausible scenarios associated with different degrees patterns losses, vital decks. Second, General Regression Neural Network (GRNN)-based cascade ensemble model, tailored predicting three interdependent output attributes using limited datasets, developed. proposed model optimised utilising differential evolution method. Modelling validation were conducted real long-span bridge. results confirm efficacy in accurately identifying when compared existing developed demonstrates exceptional prediction accuracy reliability, underscoring its practical value assessment, can facilitate effective restoration planning.

Language: Английский

Citations

4
Effect of CFRP sheets on strength recovery of self-compacting concrete-filled steel tubular columns simulated with regional corrosion DOI

H. Atiyah,

Asma Mahdi Ali, Ali Hameed Aziz

et al.

Journal of Building Pathology and Rehabilitation, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 7, 2025

Language: Английский

Citations

0
Signal Separation of Simulated and Monitored Deflections Based on a Hybrid Bridge System Using the EEMD-GSA-LSSVM Approach DOI
Cuihua Li, Libin Yang,

Weibing Peng

et al.

Journal of Bridge Engineering, Journal Year: 2025, Volume and Issue: 30(4)

Published: Feb. 4, 2025

Language: Английский

Citations

0
Integration of inspection and monitoring data for RL-enhanced sustainable life-cycle management of infrastructure networks DOI
Xiaoming Lei, You Dong, Dan M. Frangopol

et al.

Structure and Infrastructure Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: Feb. 20, 2025

Language: Английский

Citations

0
Performance-based optimization of steel exoskeletons: An alternative approach to standard regulations DOI Creative Commons
Raffaele Cucuzza, Jana Olivo, Gabriele Bertagnoli

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112177 - 112177

Published: March 1, 2025

Language: Английский

Citations

0