Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (24,971)
  • Open Access

    ARTICLE

    A Deep Learning Estimation Method for Temperature-Induced Girder End Displacements of Suspension Bridges

    Yao Jin1, Yuan Ren1, Chong-Yuan Guo2, Chong Li3, Zhao-Yuan Guo1,4, Xiang Xu1,*

    Structural Durability & Health Monitoring, Vol.19, No.2, pp. 307-325, 2025, DOI:10.32604/sdhm.2024.055265 - 15 January 2025

    Abstract To improve the accuracy of thermal response estimation and overcome the limitations of the linear regression model and Artificial Neural Network (ANN) model, this study introduces a deep learning estimation method specifically based on the Long Short-Term Memory (LSTM) network, to predict temperature-induced girder end displacements of the Dasha Waterway Bridge, a suspension bridge in China. First, to enhance data quality and select target sensors, preprocessing based on the sigma rule and nearest neighbor interpolation is applied to the raw data. Furthermore, to eliminate the high-frequency components from the displacement signal, the wavelet transform is… More >

  • Open Access

    REVIEW

    Kinked Rebar and Engineering Structures Applying Kinked Materials: State-of-the-Art Review

    Chengquan Wang1,2, Lei Xu3, Xinquan Wang1, Yun Zou3,*, Kangyu Wang4, Boyan Ping5, Xiao Li1

    Structural Durability & Health Monitoring, Vol.19, No.2, pp. 233-263, 2025, DOI:10.32604/sdhm.2024.055096 - 15 January 2025

    Abstract Kinked rebar is a special type of steel material, which is installed in beam column nodes and frame beams. It effectively enhances the blast resilience, seismic collapse resistance, and progressive collapse resistance of reinforced concrete (RC) structures without imposing substantial cost burdens, thereby emerging as a focal point of recent research endeavors. On the basis of explaining the working principle of kinked rebars, this paper reviews the research status of kinked rebars at home and abroad from three core domains: the tensile mechanical properties of kinked rebars, beam column nodes with kinked rebars, and concrete… More >

  • Open Access

    ARTICLE

    Construction Monitoring and Analysis of Asymmetric Prestressed Concrete Bridge Crossing Multiple-Line Railways

    Yi Wang1, Bing Wang2, Changwen Li2, Feng Zheng1, Yong Liu2, Shaohua He3,*

    Structural Durability & Health Monitoring, Vol.19, No.2, pp. 385-398, 2025, DOI:10.32604/sdhm.2024.054761 - 15 January 2025

    Abstract Complex bridge structures designed and constructed by humans often necessitate extensive on-site execution, which carries inherent risks. Consequently, a variety of engineering practices are employed to monitor bridge construction. This paper presents a case study of a large-span prestressed concrete (PC) variable-section continuous girder bridge in China, proposing a feedback system for construction monitoring and establishing a finite element (FE) analysis model for the entire bridge. The alignment of the completed bridge adheres to the initial design expectations, with maximum displacement and pre-arch differences from the ideal state measuring 6.39 and 17.7 mm, respectively, which More >

  • Open Access

    ARTICLE

    A Damage Control Model for Reinforced Concrete Pier Columns Based on Pre-Damage Tests under Cyclic Reverse Loading

    Zhao-Jun Zhang1, Jing-Shui Zhen1, Bo-Cheng Li1, De-Cheng Cai1, Yang-Yang Du1, Wen-Wei Wang2,*

    Structural Durability & Health Monitoring, Vol.19, No.2, pp. 327-346, 2025, DOI:10.32604/sdhm.2024.054671 - 15 January 2025

    Abstract To mitigate the challenges in managing the damage level of reinforced concrete (RC) pier columns subjected to cyclic reverse loading, this study conducted a series of cyclic reverse tests on RC pier columns. By analyzing the outcomes of destructive testing on various specimens and fine-tuning the results with the aid of the IMK (Ibarra Medina Krawinkler) recovery model, the energy dissipation capacity coefficient of the pier columns were able to be determined. Furthermore, utilizing the calibrated damage model parameters, the damage index for each specimen were calculated. Based on the obtained damage levels, three distinct More >

  • Open Access

    ARTICLE

    Experimental Study and a Modified Model for Temperature-Recovery Stress of Shape Memory Alloy Wire under Different Temperatures

    Zhi-Xiang Wei1, Wen-Wei Wang2,*, Yan-Jie Xue3, Wu-Tong Zhang2, Qiu-Di Huang2

    Structural Durability & Health Monitoring, Vol.19, No.2, pp. 347-364, 2025, DOI:10.32604/sdhm.2024.054559 - 15 January 2025

    Abstract To investigate the performance of utilizing the shape memory effect of SMA (Shape Memory Alloy) wire to generate recovery stress, this paper performed single heating recovery stress tests and reciprocating heating-cooling recovery stress tests on SMA wire under varying initial strain conditions. The effects of various strains and different energized heating methods on the recovery stress of SMA wires were explored in the single heating tests. The SMA wire was strained from 2% to 8% initially, and two distinct heating approaches were employed: one using a large current interval for rapid heating and one using… More >

  • Open Access

    ARTICLE

    Data-Driven Method for Predicting Remaining Useful Life of Bearings Based on Multi-Layer Perception Neural Network and Bidirectional Long Short-Term Memory Network

    Yongfeng Tai1, Xingyu Yan2, Xiangyi Geng3, Lin Mu4, Mingshun Jiang2, Faye Zhang2,*

    Structural Durability & Health Monitoring, Vol.19, No.2, pp. 365-383, 2025, DOI:10.32604/sdhm.2024.053998 - 15 January 2025

    Abstract The remaining useful life prediction of rolling bearing is vital in safety and reliability guarantee. In engineering scenarios, only a small amount of bearing performance degradation data can be obtained through accelerated life testing. In the absence of lifetime data, the hidden long-term correlation between performance degradation data is challenging to mine effectively, which is the main factor that restricts the prediction precision and engineering application of the residual life prediction method. To address this problem, a novel method based on the multi-layer perception neural network and bidirectional long short-term memory network is proposed. Firstly,… More >

  • Open Access

    ARTICLE

    Effects of Repair Grouting and Jacketing on Corrosion Concrete Using Ultrasonic Method

    Rivky Afanda1, Ahmad Zaki1,2,*

    Structural Durability & Health Monitoring, Vol.19, No.2, pp. 265-284, 2025, DOI:10.32604/sdhm.2024.053084 - 15 January 2025

    Abstract Concrete is one of the most important elements in building construction. However, concrete used in construction is susceptible to damage due to corrosion. The influence of corrosive substances causes changes in the reinforcing steel and affects the strength of the structure. The repair method is one approach to overcome this problem. This research aims to determine the effect of grouting and jacketing repairs on corroded concrete. The concrete used has dimensions of 15 cm × 15 cm × 60 cm with planned corrosion variations of 50%, 60%, and 70%. The test objects were tested using… More >

  • Open Access

    REVIEW

    A Review of Infrared Thermography Applications for Civil Infrastructure

    Prabal Shrestha1, Onur Avci1,*, Sahabeddin Rifai1, Feras Abla1, Michael Seek2, Karl Barth1, Udaya Halabe3

    Structural Durability & Health Monitoring, Vol.19, No.2, pp. 193-231, 2025, DOI:10.32604/sdhm.2024.049530 - 15 January 2025

    Abstract Civil infrastructure is continuously subject to aging and deterioration due to multiple factors, which lead to a decline in performance and impact structural health. Accumulated damage on structures increases operational costs and poses significant risks to public safety. Effective maintenance, repair, and rehabilitation strategies are needed to ensure civil infrastructure’s overall safety and reliability. Non-Destructive Evaluation (NDE) methods are utilized to assess latent damage and provide decision-makers with real-time information for mitigating hazards. Within the last decade, there has been a significant increase in the research and development of innovative NDE techniques to improve data… More >

  • Open Access

    ARTICLE

    Comparative Flood Hazard Assessment in Assam’s Belsiri River Basin Using AHP and MaxEnt Models

    Nilotpal Kalita1,*, Ashok Kumar Bora2, Rana Sarmah3, Dhrubajyoti Sahariah2, Manash Jyoti Nath2,*

    Revue Internationale de Géomatique, Vol.34, pp. 37-51, 2025, DOI:10.32604/rig.2024.058265 - 13 January 2025

    Abstract Flooding is a natural event often associated with floodplain areas, characterised by large, sudden and significant rises in river water levels that drastically alters the surrounding landscape. The research employs ArcGIS tools, multi-criteria evaluation techniques and the Maximum Entropy (MaxEnt) model to assess flood hazard zones. The key physical elements of slope, elevation, rainfall, drainage density, land use, and soil types have been integrated to identify areas vulnerable to flooding. Overlay analysis has been used to construct zones specifically designated for flood hazards. Additionally, pairwise comparison using Saaty’s scale was employed to calculate the Eigenvector More > Graphic Abstract

    Comparative Flood Hazard Assessment in Assam’s Belsiri River Basin Using AHP and MaxEnt Models

  • Open Access

    ARTICLE

    Application of Fuzzy-AHP in GIS in Finding E-Scooter Trail for Street Art

    Muhammad Salahuddin Mohamad Shahrul Annuar, Nabilah Naharudin*, Nur Aina Adiela Azmi, Nafisah Khalid

    Revue Internationale de Géomatique, Vol.34, pp. 53-69, 2025, DOI:10.32604/rig.2025.058078 - 13 January 2025

    Abstract Tourism trails connect destinations, points of interest, and travel-related businesses. By enhancing connectivity, these trails reduce travel time, allowing tourists to maximize their exploration of sites, leading to more efficient and satisfying travel experiences. The rising popularity of e-scooters in urban areas has highlighted the need to identify safe and accessible routes, particularly in cities where safety concerns have led to restrictions. Multi-Criteria Decision Analysis (MCDA) and Geographic Information System (GIS) network analysis can be employed to determine optimal paths by considering multiple criteria. This study focuses on finding an optimal street art trail for… More >

Displaying 21-30 on page 3 of 24971. Per Page