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
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
Geosciences, Multidisciplinary
Gokhan Altay, Cafer Kayadelen, Mehmet Kara
Summary: This study focuses on the model selection and prediction of PGA, PGV, and PGD using strong motion data from earthquakes in Turkiye. The results indicate that the gradient boosted model (GBM) outperforms other models and the artificial neural network (ANN) technique in predicting PGA, and is capable of capturing the complex relationship between the predicted values and input parameters.
Article
Green & Sustainable Science & Technology
Muhammad Waseem, Zia Ur Rehman, Fabio Sabetta, Irshad Ahmad, Mahmood Ahmad, Mohanad Muayad Sabri Sabri
Summary: This study evaluates the applicability of global ground motion prediction equations in the shallow active regions of Pakistan and finds that these equations can be used for seismic hazard and risk assessment, thereby mitigating disaster risks.
Article
Geochemistry & Geophysics
Peiliang Xu, Fang Du, Yuanming Shu, Hongping Zhang, Yun Shi
Summary: This study focuses on reconstructing velocity and acceleration from high sampling rate (50 Hz) precise GNSS data, proposing a regularization method based on minimum mean squared errors (MSE). The reconstructed velocity and acceleration values are shown to be in good agreement with the earthquake signal and motion patterns in the position waveforms.
JOURNAL OF GEODESY
(2021)
Article
Engineering, Geological
S. Sangeetha, S. T. G. Raghukanth
Summary: This study presents the simulation of broadband ground motions for historical earthquakes in Northeast India using a geology-based velocity model and a hybrid approach. The results show that this method provides an accurate estimation of site-specific ground motions and reproduces the prominent features of observed motions. The obtained ground motions are useful for seismic design and hazard estimation.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2022)
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
Gina P. Villalobos-Escobar, Victor H. Marquez-Ramirez, Raul R. Castro, Tomas A. Pena-Alonso
Summary: This study presents attenuation relations for peak ground velocity (PGV) and acceleration (PGA) in northeastern Mexico. The models were derived using regional data recorded by the Mexican National Seismological Service. The results show that the models have good residual fitting and simple attenuation relations that depend only on magnitude, hypocentral distance, and focal depth. The proposed models can be easily applied for engineering or seismic risk assessment purposes.
JOURNAL OF EARTHQUAKE ENGINEERING
(2023)
Article
Geochemistry & Geophysics
Jingbao Zhu, Shanyou Li, Jindong Song
Summary: Accurately predicting on-site peak ground velocity (PGV) is crucial for earthquake hazard mitigation. In this study, a hybrid deep-learning network (HybridNet) is constructed to predict PGV using a combination of CNN and RNN feature extraction blocks. The HybridNet model shows better performance than baseline models in terms of error deviation, mean absolute error, and coefficient of determination for PGV prediction. Additionally, the predicted PGV can be used to estimate the potential damage zone (PDZ) by interpolating values at different stations, which aligns well with observed results shortly after the arrival of P-wave.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
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
Geosciences, Multidisciplinary
Kang Peng, Jie Zeng, Danial Jahed Armaghani, Mahdi Hasanipanah, Qiusong Chen
Summary: The study hybridized GBT and neural network models to predict PPV caused by quarry blasting, with the ANN-PSO model outperforming others in terms of system error and accuracy. The findings suggest that combining ensemble machine learning techniques and optimized ANN models, particularly PSO, can result in perfect and straightforward predictions of PPV.
NATURAL RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Katsuo Sasahara
Summary: This study measured groundwater level and surface displacement in a sandy model slope under repeated rainfall to examine the effect of repeated pore pressure loading and unloading on slope deformation. The velocity had small fluctuations even immediately before failure, and positive and negative accelerations occurred due to velocity fluctuations. The velocity increased with a rise in groundwater level and approached its ultimate value before failure. Surface displacement increased with both rising and falling groundwater levels, as well as under a constant groundwater level. The relationship between velocity and acceleration derived from surface displacement was linear on a logarithmic scale and unique for each stage with increasing and decreasing velocities due to groundwater level changes. A new relationship was established in this study for any velocity trend and a method for predicting the time of failure was proposed based on the velocity-acceleration relationship.
ENVIRONMENTAL EARTH SCIENCES
(2022)
Article
Chemistry, Multidisciplinary
Paola Cusano, Ciro Ricco, Ida Aquino, Simona Petrosino
Summary: The study focuses on understanding the relationship between earthquakes and co-seismic ground tilt at Mt. Vesuvius. By analyzing seismicity data from 2018 to 2020, the researchers found that the size and direction of the two vectors are mostly comparable.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Environmental
Katsuo Sasahara, Nobutaka Hiraoka, Naotaka Kikkawa, Kazuya Itoh
Summary: Surface displacements in a large-scale slope model increased both during and after slope excavation due to creep deformation under constant stress. The relationship between surface displacement velocity and acceleration fluctuated notably, and the trendlines generally agreed with the measured data at certain locations on the model slope. Steeper trendlines predicted earlier failure times for larger displacements close to failure conditions, but resulted in worse predictions for smaller displacements far from causing slope failure.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Engineering, Environmental
Issei Doi, Sumio Matsuura, Hikaru Osawa, Tatsuya Shibasaki, Shinichi Tosa
Summary: The mapping of earthquake-induced landslides relies on understanding how slope instability affects the susceptibility of landslides during earthquakes. This study presents continuous observations of seismic motion and displacement in a coastal landslide, showing that even weaker seismic motions can cause landslide movement. The findings highlight the importance of considering the degree of landslide instability in the risk assessment of landslides.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2022)