Jiuqing Zhou^1,2,3, Daming Lin⁴, Leifa Li^1,2,3, Guanghui Zhang^1,2,3, Shumao Qiu^4,*

Structural Durability & Health Monitoring, Vol.19, No.3, pp. 705-729, 2025, DOI:10.32604/sdhm.2025.060298 - 03 April 2025

Abstract The objective of this research is to assess the seismic behavior of the continuous T-beam bridge located at Kulungou in Xinjiang. In addition to traditional static and modal analyses, this study introduces a novel approach by comprehensively examining the performance of the bridge during construction stages, under ultimate load capacities and seismic load. Compliance with regulatory standards is verified by the static analysis, which also yields a thorough comprehension of stress distribution across various stages of construction. By unveiling the initial 100 vibration modes, the modal analysis has significantly enhanced our comprehension and established… More >

Ahed Habib^1,*, Zaid A. Al-Sadoon², Murat Saatcioglu³, Ausamah Al Houri⁴, Mohamed Maalej², Salah Al-Toubat², Mazen Shrif²

Structural Durability & Health Monitoring, Vol.19, No.3, pp. 417-439, 2025, DOI:10.32604/sdhm.2025.059524 - 03 April 2025

Abstract Squat reinforced concrete (RC) shear walls are essential structural elements in low-rise buildings, valued for their high strength and stiffness. However, research on their seismic behavior remains limited, as most studies focus on tall, slender walls, which exhibit distinct failure mechanisms and deformation characteristics. This study addresses this gap by conducting an extensive review of existing research on the seismic performance of squat RC shear walls. Experimental studies, analytical models, and numerical simulations are examined to provide insights into key factors affecting wall behavior during seismic events, including material properties, wall geometry, reinforcement detailing, and More >

Sourabh Mhaski^*, G. V. Ramana

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 251-277, 2025, DOI:10.32604/cmes.2024.055963 - 17 December 2024

Abstract Earthquake-induced soil liquefaction poses significant risks to the stability of geotechnical structures worldwide. An understanding of the liquefaction triggering, and the post-failure large deformation behaviour is essential for designing resilient infrastructure. The present study develops a Smoothed Particle Hydrodynamics (SPH) framework for earthquake-induced liquefaction hazard assessment of geotechnical structures. The coupled flow-deformation behaviour of soils subjected to cyclic loading is described using the PM4Sand model implemented in a three-phase, single-layer SPH framework. A staggered discretisation scheme based on the stress particle SPH approach is adopted to minimise numerical inaccuracies caused by zero-energy modes and tensile… More >

Hacer Kabakoglu^1,2,*, Fatma Nuray Kuşçu Sahin²

International Journal of Mental Health Promotion, Vol.26, No.10, pp. 855-863, 2024, DOI:10.32604/ijmhp.2024.055653 - 31 October 2024

Abstract Background: Disasters have effects that leave great negative marks on our lives, even after many years have passed. Individuals who experience an earthquake experience physical and psychological difficulties. The purpose of this study is to determine how psychological resilience levels affect the feeling of hopelessness and post-traumatic growth in adults who experienced the 06 February, 2023 Turkey-Syria earthquake. Methods: Data were collected using the “Personal Information Form (PIF)”, “Turkish forms of Adult Resilience Measure (ARM)”, “Dispositional Hope Scale (DHS)” and “Post-Traumatic Growth Inventory (PTGI)”. In order to determine whether there is a significant difference in… More >

Liangwei Jiang^1,2, Wei Zhang², Hongyin Yang^1,2,3,*, Xiucheng Zhang¹, Jinghan Wu², Zhangjun Liu²

Structural Durability & Health Monitoring, Vol.18, No.6, pp. 835-851, 2024, DOI:10.32604/sdhm.2024.051125 - 20 September 2024

Abstract Aiming at the problem that it is difficult to obtain the explicit expression of the structural matrix in the traditional train-bridge coupling vibration analysis, a combined simulation system of train-bridge coupling system (TBCS) under earthquake (MAETB) is developed based on the cooperative work of MATLAB and ANSYS. The simulation system is used to analyze the dynamic parameters of the TBCS of a prestressed concrete continuous rigid frame bridge benchmark model of a heavy-haul railway. The influence of different driving speeds, seismic wave intensities, and traveling wave effects on the dynamic response of the TBCS under More >

Shalu¹, Twinkle Acharya¹, Dhwanilnath Gharekhan^1,*, Dipak Samal²

Revue Internationale de Géomatique, Vol.33, pp. 111-134, 2024, DOI:10.32604/rig.2024.051788 - 15 May 2024

Abstract Seismic vulnerability modeling plays a crucial role in seismic risk assessment, aiding decision-makers in pinpointing areas and structures most prone to earthquake damage. While machine learning (ML) algorithms and Geographic Information Systems (GIS) have emerged as promising tools for seismic vulnerability modeling, there remains a notable gap in comprehensive geospatial studies focused on India. Previous studies in seismic vulnerability modeling have primarily focused on specific regions or countries, often overlooking the unique challenges and characteristics of India. In this study, we introduce a novel approach to seismic vulnerability modeling, leveraging ML and GIS to address… More >

Ercan Vural^*

Revue Internationale de Géomatique, Vol.33, pp. 37-50, 2024, DOI:10.32604/rig.2024.047908 - 29 March 2024

Abstract Severe earthquakes in the world and in Turkey can cause great loss of life and property, environmental problems and health problems. In addition to the loss of life and property, earthquakes are closely related to ecosystems, air, water, and soil pollution. Particularly in post-earthquake debris removal, very large amounts of particulate matter are released and may have negative effects on the health of the local population. This study aimed to detect two types of particle matter pollution during debris removal in 25 different locations in Adiyaman City using a CEM DT 9880 particle matter measuring… More >

Ali Mahamied¹, Amjad A. Yasin¹, Yazan Alzubi^1,*, Jamal Al Adwan¹, Issa Mahamied²

Structural Durability & Health Monitoring, Vol.17, No.6, pp. 501-519, 2023, DOI:10.32604/sdhm.2023.028686 - 17 November 2023

Abstract Nowadays, an extensive number of studies related to the performance of base isolation systems implemented in regular reinforced concrete structures subjected to various types of earthquakes can be found in the literature. On the other hand, investigations regarding the irregular base-isolated reinforced concrete structures’ performance when subjected to pulse-like earthquakes are very scarce. The severity of pulse-like earthquakes emerges from their ability to destabilize the base-isolated structure by remarkably increasing the displacement demands. Thus, this study is intended to investigate the effects of pulse-like earthquake characteristics on the behavior of low-rise irregular base-isolated reinforced concrete More >

Jiaqi Wang¹, Pengfei Sun¹, Leilei Chen², Jianfeng Yang³, Zhenghe Liu¹, Haojie Lian^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1381-1418, 2023, DOI:10.32604/cmes.2023.023693 - 26 June 2023

Abstract Geological hazard is an adverse geological condition that can cause loss of life and property. Accurate prediction and analysis of geological hazards is an important and challenging task. In the past decade, there has been a great expansion of geohazard detection data and advancement in data-driven simulation techniques. In particular, great efforts have been made in applying deep learning to predict geohazards. To understand the recent progress in this field, this paper provides an overview of the commonly used data sources and deep neural networks in the prediction of a variety of geological hazards. More >

Anwer H. Hussein^*, Hussam K. Risan

Structural Durability & Health Monitoring, Vol.16, No.3, pp. 213-233, 2022, DOI:10.32604/sdhm.2022.018293 - 18 July 2022

Abstract Silos are strategical structures used to stockpile various types of granular materials. They are highly vulnerable to earthquake excitation and have been frequently reported to fail at a higher rate than any other industrial structure. The seismic response of silos within the near-fault region will suffer a complex combination of loadings due to the unique characteristics of the near-fault ground motions; which are usually associated with a large amplitude pulse at the beginning of either the velocity or the displacement time histories. This study aims to numerically evaluate the seismic response of reinforced concrete cylindrical… More >