Article
Engineering, Civil
R. Ramkrishnan, Kolathayar Sreevalsa, T. G. Sitharam
Summary: A new region-specific Ground Motion Prediction Equation (GMPE) was developed for the North and Central Himalayas based on recorded strong motion data. It was found to predict ground acceleration more accurately with noticeably less residuals compared to existing GMPEs, overcoming limitations of previous equations.
JOURNAL OF EARTHQUAKE ENGINEERING
(2021)
Article
Engineering, Civil
Pankaj Kumar, Bhanu Pratap Chamoli, Ashok Kumar, Ajay Gairola
Summary: An attenuation relationship has been developed for the Uttarakhand region in India, to predict strong ground motion during earthquakes. Utilizing past earthquake records and a regression model, a new attenuation relationship has been proposed. This relationship will be beneficial for seismic studies and engineering applications, and may be further improved with more earthquake data in the future.
JOURNAL OF EARTHQUAKE ENGINEERING
(2021)
Article
Geosciences, Multidisciplinary
Prantik Mandal
Summary: In this study, an artificial neural network was utilized to develop a ground motion prediction model for peak ground acceleration in Kachchh, Gujarat, India. The model showed good predictability for earthquakes of M(w)5.6-7.7 in the region, with a standard deviation of PGA prediction error estimates found to be +/- 0.2554 in log10 units. The model performance was evaluated using real earthquake recordings, demonstrating its accuracy in predicting PGA values.
Article
Mechanics
Cengizhan Durucan, Humeyra Sahin, Ayse Rusen Durucan
Summary: This study aims to develop a new seismic intensity measure based on the shape of the response spectrum and the spectral acceleration at the fundamental elastic period of the structure, specifically for short period reinforced concrete structures subjected to near-fault pulse-like ground motion records. The proposed measure shows improved performance compared to other evaluated measures.
MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES
(2023)
Article
Geochemistry & Geophysics
Haizhong Zhang, Yan-Gang Zhao
Summary: The relationship between SV and PSV in seismic design is influenced by various factors such as oscillator period, earthquake characteristics, magnitude, distance, and site conditions. As earthquake magnitude increases, SV approaches PSV at long oscillator periods but performs oppositely at short oscillator periods.
BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
(2021)
Article
Engineering, Civil
R. Ramkrishnan, Kolathayar Sreevalsa, T. G. Sitharam
Summary: This study presents the development of a new Ground Motion Prediction Equation (GMPE) based on actual recorded ground motion data. By using a larger dataset with a wide range of magnitudes and hypocentral distances, the newly developed GMPE can realistically predict ground acceleration over larger ranges.
JOURNAL OF EARTHQUAKE ENGINEERING
(2022)
Article
Geosciences, Multidisciplinary
Prantik Mandal, Priyank Mandal
Summary: This study develops a reliable and robust GMPE for estimating peak ground acceleration using the XGBoost model in Kachchh, Gujarat, India. The XGBoost model exhibits superior predictive performance compared to previous methods and shows high predictability for earthquakes in the region. This research holds significance for earthquake prediction and engineering in India.
Article
Green & Sustainable Science & Technology
Jiangwei Zhang, Yan Shen, Tao Lu, Ying Yuan, Chengda Zhang
Summary: This study used the finite element method to simulate the influence of effective peak acceleration (EPA) on the seismic response of soil slopes. Four different definitions of EPA commonly used in domestic and foreign codes were discussed and compared with the influence of peak acceleration (PGA). The results showed that the deformation and maximum principal stress of soil slopes were positively correlated with EPA and PGA, with different correlation degrees depending on the definitions used. EPA1 by the first definition had the highest correlation with the soil slope seismic response, followed by PGA. EPA2, EPA3, and EPA4 had lower correlation coefficients. EPA1 and PGA were found to better describe the response degree of soil slopes in earthquakes. These findings provide a basis for selecting seismic parameters in the evaluation of soil slope seismic stability.
Article
Engineering, Multidisciplinary
Shahab S. Band, Sina Ardabili, Amir Seyed Danesh, Zulkefli Mansor, Ibrahim AlShourbaji, Amir Mosavi
Summary: This paper proposes a new algorithm called CCRAO, which combines and improves the existing RAO algorithms and shows better optimization performance and convergence characteristics in multiple test functions and engineering problems.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Physiology
Roland van den Tillaar, Haris Pojskic, Hakan Andersson
Summary: This study aimed to compare sprint skating profiles among junior and senior bandy players in different playing positions. The study found that there were no differences in sprint skating performance (speed and acceleration) between positions. However, elite players were generally heavier, had faster acceleration, and reached a higher velocity earlier over 80 m compared to junior players. This suggests that junior players should focus more on power and sprint training to meet the specific demands of playing at a higher, elite level.
FRONTIERS IN PHYSIOLOGY
(2023)
Article
Engineering, Civil
Rui Zhang, Yan-Gang Zhao, Haizhong Zhang
Summary: This study proposes an efficient method for the probabilistic prediction of peak ground acceleration (PGA) using the Fourier amplitude spectral (FAS) model. The method adopts the moment method to approximate the probability distribution of PGA based on the first three moments. Numerical examples show that the proposed method is more efficient than Monte Carlo simulations (MCSs) in calculating the annual exceedance rate of PGA and provides similar accuracy.
JOURNAL OF EARTHQUAKE ENGINEERING
(2023)
Article
Geochemistry & Geophysics
Babak Karimi Ghalehjough, Saeid Agahian
Summary: Ground motion prediction equations (GMPEs) are open challenge problems that have been developed since 1964. Parametric and nonparametric methods predict ground motion characteristics such as PGA, velocity, displacements, and spectral accelerations. In this study, the GWO algorithm was used to develop a new GMPE for predicting PGA. Data from recorded earthquakes were collected and used for modeling, considering various parameters such as M-w, epicentral distance, and geological conditions. The study also considered the effects of Vs30 on different geological groups. Results showed a decrease in PGA with increasing Vs30 and moving from soft soil to rock. The suggested relation by the GWO method estimated PGA accurately and at an acceptable level.
Article
Engineering, Geological
Angshuman Das, Pradipta Chakrabortty
Summary: The study proposes a method to predict ground vibrations induced by vibroflotation by establishing the relationship between vibration parameters and source to receiver distance. By reducing the number of model input parameters based on sensitivity analysis, the efficiency of the model is improved and the error is reduced.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2021)
Article
Engineering, Civil
Zhangliang Hu, Biao Wei, Lizhong Jiang, Shanshan Li, Yujie Yu, Chun Xiao
Summary: This study investigates the optimal ground motion intensity measure for high-speed railway girder bridges (HRGBs). Modal analysis reveals that the contribution of high-order modes cannot be ignored. A new intensity measure, S*, is proposed and found to be more feasible, efficient, and sufficient through probabilistic seismic demand analysis. An attenuation relationship based on S* is also proposed.
ENGINEERING STRUCTURES
(2022)
Article
Geochemistry & Geophysics
Behzad Hassani, Gail Marie Atkinson
Summary: The study uses an equivalent point-source ground-motion model to characterize subduction earthquakes in Japan, with parameterized attenuation attributes for different event types and regions. The developed GMMs are applicable for interface events of M 4.5-9.2 and in-slab earthquakes of M 4-8.5, for rupture distances from 10 to 600 km and for 100 m/s < V-S30 < 1500 m/s.
BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
(2021)
Article
Engineering, Civil
Elham Rajabi, Gholamreza Ghodrati Amiri
Summary: This study proposes the control of ductility demands of reinforced concrete frames under critical-successive earthquakes using artificial neural networks and empirical equations. The research finds that critical record sequences decrease the capacity of frames, emphasizing the importance of determining the value of R factors based on actual conditions.
SUSTAINABLE AND RESILIENT INFRASTRUCTURE
(2022)
Article
Acoustics
Hamed Keikha, Gholamreza Ghodrati Amiri
Summary: This study combines the equivalent lateral force procedure with the capacity spectrum method to evaluate the performance of quintuple friction pendulum isolators in isolated structures. The accuracy of the simplified method is assessed by comparing its results with nonlinear response history analysis under different earthquake motions and site conditions, providing guidance for practical design.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Engineering, Civil
Mohammadreza Jalalinia, Gholamreza Ghodrati Amiri, Seyed Ali Seyed Razzaghi
Summary: This article proposes a baseline-free method for accurately locating damage, specifically cracks, in plates with a circular hole. By using guided ultrasonic waves and analyzing the response signals with wavelet transform, actionable damage-sensitive features are extracted to calculate damage indexes and locate the damage.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING
(2022)
Article
Engineering, Civil
Hossein Rezaei, Panam Zarfam, Emadaldin Mohammadi Golafshani, Gholamreza Ghodrati Amiri
Summary: This study develops seismic response prediction models and fragility curves for concrete box-girder bridges using Symbolic Regression analysis. By considering geometrical, material, ground motion, and structural uncertainties, the reliability of the models is improved. The results demonstrate that the prediction models are effective and accurate.
Article
Engineering, Mechanical
Mohammadreza Jalalinia, Gholamreza Ghodrati Amiri, Seyed Ali Seyed Razzaghi
Summary: This article presents a baseline-free damage detection method based on guided ultrasonic waves and signal processing, which can accurately detect multiple damage locations at the edge of a circular hole in a plate-like structure. The method is also effective in detecting damage near the plate edge.
JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES
(2023)
Article
Engineering, Civil
Mohammad Bavandi, Gholamreza Ghodrati Amiri, Elham Rajabi, Abdolreza S. Moghadam
Summary: Natural hazards can become crises without reduction systems, and quantitative estimation of hazards is crucial for prevention. Structural resilience encompasses different dimensions, and qualitatively involves predicting factors to restore damaged structures quickly. This study evaluates the resilience of 3-story buildings with post-tensioned self-centering connections through six models, developing a seismic resilience index and a quantitative assessment index for self-centering structures. One significant finding is that resilience and structural performance decrease with increasing event occurrences. Higher indices indicate greater building resilience.
Article
Engineering, Civil
Hossein Babajanian Bisheh, Gholamreza Ghodrati Amiri
Summary: This paper proposes a novel method for structural damage detection, which combines the advantages of variational mode decomposition algorithm and kernel principal component analysis in the presence of environmental effects. The method decomposes vibration response data using the variational mode decomposition algorithm, extracts spectral centroid feature from selected intrinsic mode functions, and performs kernel principal component analysis to obtain damage-sensitive indices for condition monitoring. The proposed method is validated through numerical and full-scale studies, and the results show its accuracy in identifying structural damage under varying environmental conditions.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Seyed Amir Hashemi Amiri, Gholamreza Ghodrati Amiri, Maysam Ghasemi Naghibdehi, Mobin Afzalirad
Summary: In this research, numerical modeling of a 3D reinforced concrete column was conducted in three different conditions, including non-retrofitted state, steel plates retrofitted state, and CFRP retrofitted state. The effects of retrofits and heat on the cyclic lateral behavior of the columns were studied and compared through coupled temperature-displacement analysis under cyclic lateral loading at various heat levels.
PERIODICA POLYTECHNICA-CIVIL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Hossein Rezaei, Panam Zarfam, Emadaldin Mohammadi Golafshani, Gholamreza Ghodrati Amiri
Summary: This paper introduces interpretable, reliable, and fast prediction models for estimating the seismic responses of curved bridges. These models are developed using two novel branches of the symbolic regression approach and consider various uncertainties. The most influential parameters for seismic demands are identified using the evolutionary correlation coefficient, and closed-form mathematical expressions are generated to predict seismic demands.
COMPUTERS & STRUCTURES
(2023)
Article
Engineering, Civil
Mohammad Hossein Afsharmovahed, Gholamreza Ghodrati Amiri, Ehsan Darvishan
Summary: This paper proposes a new method for damage detection of structures using specific sensors and feature-sensors to improve accuracy. The method is validated with real data from a cable-stayed bridge, demonstrating an accuracy of almost 98% in distinguishing damaged and healthy states.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING
(2023)
Article
Engineering, Mechanical
Arghavan Asghari, Gholamreza Ghodrati Amiri, Ehsan Darvishan, Arian Asghari
Summary: This study proposes a novel deep ensemble learning approach based on the stacked generalization method for detecting damages in structural health monitoring. The method utilizes a multi-headed deep artificial neural network architecture and combines predictions using the stacking ensemble method to enhance result accuracy. Experimental results verify the potential of this method in the field of structural health monitoring and damage detection.
JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES
(2023)
Article
Engineering, Multidisciplinary
Mohtasham Khanahmadi, Borhan Mirzaei, Gholamreza Ghodrati Amiri, Majid Gholhaki, Omid Rezaifar
Summary: This study introduces a damage identification method to diagnose damaged regions in 3D sandwich panels using modal dynamic data. By defining an Irregularity Detection Index, it is possible to identify damaged locations, and the index value increases with the severity of the damage.
Article
Engineering, Civil
Bahador Adel Sanjideh, Azadeh Ghadimi Hamzehkolaei, Ali Zare Hosseinzadeh, Gholamreza Ghodrati Amiri
Summary: This paper proposes an optimization-based Finite Element model updating approach for structural damage identification and quantification. It introduces a modal flexibility-based error function and formulates the updating problem as an optimization problem using modal assurance criterion. The paper also proposes a new multi-stage Selective Particle Swarm Optimization (SPSO) algorithm to solve the optimization problem and verifies its performance and precision.
STRUCTURAL ENGINEERING AND MECHANICS
(2022)
Article
Engineering, Civil
Mohammadreza Ahadpour Khaneghah, Esmaeil Mohammadi, Vahid Broujerdian, Gholamreza Ghodrati Amiri
Summary: The goal of this research was to find the best design for a self-centering buckling restrained brace (SC-BRB) system by balancing self-centering capability and energy dissipation. Three, six, and nine-story structures were investigated using OpenSees software and the TCL programming language. The results showed that the SC-BRB system can significantly reduce the residual deformation of framed buildings while maintaining acceptable energy dissipation reduction.
EARTHQUAKES AND STRUCTURES
(2022)
Article
Engineering, Civil
Hossein Babajanian Bisheh, Gholamreza Ghodrati Amiri
Summary: This paper proposes a data-driven methodology for online early damage identification under changing environmental conditions. The proposed method relies on two data analysis methods: feature-based method and hybrid PCA-KPCA. The results demonstrate that the proposed method can accurately detect structural damage and reduce false alarms by suppressing the effects of environmental variations.
STRUCTURAL MONITORING AND MAINTENANCE, AN INTERNATIONAL JOURNAL
(2022)
