Article
Engineering, Civil
Hoang D. Nguyen, Nhan D. Dao, Myoungsu Shin
Summary: This study developed machine learning models using artificial neural network and extreme gradient boosting techniques to predict the seismic drift responses of steel moment frames. The XGBoost model outperformed the ANN model in predicting seismic drift responses with coefficients of determination (R2) of 0.975 and 0.962 in the testing dataset. Ground motion intensities, particularly peak ground velocity, had a significant impact on the seismic drift response prediction, highlighting the importance of input variables in the modeling process.
ENGINEERING STRUCTURES
(2021)
Article
Construction & Building Technology
Ji-Gang Xu, Shi-Zhi Chen, Wei-Jie Xu, Zi-Sen Shen
Summary: Accurate prediction of the shear strength of old and new concrete interfaces is crucial for the design and assessment of precast and retrofitted concrete structures. This study developed an explainable machine learning model for predicting interface shear strength, with the XGBoost model showing the best performance among the ML-models and outperforming empirical models. Key factors affecting predictions include reinforcement ratio, surface type, interface section width, and concrete strength.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Computer Science, Interdisciplinary Applications
Ying Zou, Yan Shi, Fang Sun, Jihua Liu, Yu Guo, Huanlei Zhang, Xiudi Lu, Yan Gong, Shuang Xia
Summary: This study developed an XGBoost model for assessing central cervical lymph node metastasis (CLNM) in patients with papillary thyroid carcinoma (PTC). The model showed excellent classification performance and had interpretability and transparency. SHAP and LIME methods were used to ensure the stability and reliability of the model. The results demonstrated that the XGBoost model outperformed traditional machine learning models.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Construction & Building Technology
Longzhu Xiao, Siuming Lo, Jixiang Liu, Jiangping Zhou, Qingqing Li
Summary: Urban vibrancy is crucial for sustainable urban development, with transit-oriented development (TOD) theoretically benefiting vibrancy, but implementation not always leading to vibrant community life. Research findings indicate that sufficient bus services, built-up coverage, and mixed-use buildings are dominant contributors to vibrancy around metro stations, with nonlinear influences and synergistic effects of TOD on vibrancy.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Engineering, Civil
Abdoulaye Sanni Bakouregui, Hamdy M. Mohamed, Ammar Yahia, Brahim Benmokrane
Summary: This study introduces a new method for predicting the load-carrying capacity of FRP-RC columns using the XGBoost algorithm, outperforming other numerical equations. Important input variables for predicting the maximum axial load-carrying capacity include eccentricity ratio, gross sectional area, compressive strength of concrete, etc.
ENGINEERING STRUCTURES
(2021)
Article
Agriculture, Multidisciplinary
Florian Huber, Artem Yushchenko, Benedikt Stratmann, Volker Steinhage
Summary: Accurate prediction of crop yield before harvest is crucial for crop logistics, market planning, and food distribution worldwide. Remote sensing satellite images provide a cheap and reliable way to obtain data for yield prediction, while Deep Learning approaches dominate the field but have limitations. This study proposes using Extreme Gradient Boosting (XGBoost) with processed remote sensing images for yield prediction, showing promising accuracies compared to Deep Learning methods for soybean yield prediction in the United States.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Geosciences, Multidisciplinary
Halit Enes Aydin, Muzaffer Can Iban
Summary: In recent years, the number of floods has increased globally, leading to the importance of Flood Susceptibility Maps (FSMs) for flood prevention and decision-making. This study aimed to develop FSMs for Adana province in Turkey using machine learning classifiers and compared the performance of different techniques. The findings showed that Adana province has a significant amount of land susceptible to flooding, with elevation, slope, and distance to rivers being the most influential factors.
Article
Environmental Sciences
Bingqing Lu, Xue Meng, Shanshan Dong, Zekun Zhang, Chao Liu, Jiakui Jiang, Hartmut Herrmann, Xiang Li
Summary: By integrating spatiotemporal information, the space-time extreme gradient boost model (STXGB) was enhanced to achieve accurate estimation of highly spatiotemporal VOCs, with lower computational burden.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Civil
Dong Van Nguyen, Dookie Kim, YunWook Choo
Summary: This study develops a machine learning method to predict the maximum wall deflection of deep braced excavations in sand, which has not been widely studied before. The performance of the ML model is optimized and validated, and the feature importance and parameter effects are assessed. The study provides useful guidance for engineering applications.
Article
Energy & Fuels
Georgios Mitrentsis, Hendrik Lens
Summary: PV power forecasting models typically rely on machine learning algorithms, and a two-stage probabilistic forecasting framework has been proposed to generate highly accurate and reliable predictions while maintaining full transparency. The framework utilizes NGBoost for probabilistic forecasts and calculates SHAP values to understand predictions, leading to improved accuracy and performance.
Article
Engineering, Industrial
Pramudita Satria Palar, Lavi Rizki Zuhal, Koji Shimoyama
Summary: Surrogate models are essential for uncertainty quantification and global sensitivity analysis. This paper introduces the use of Shapley additive explanations (SHAP) to explain a polynomial chaos expansion (PCE) model. SHAP enables visualization of nonlinearity and interaction between variables in the PCE model, as well as quantifies the relative importance of inputs to the output.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Geological
Chun Xu, Keping Zhou, Xin Xiong, Feng Gao, Yan Lu
Summary: Land subsidence caused by coal mining has led to damage in villages, buildings, and farmland, posing threats to human settlements and ecological environments. This study developed a novel intelligent approach combining sparrow search algorithm, extreme gradient boosting, and technique for order preference to predict mining land subsidence.
Article
Engineering, Geological
Aali Pant, G. V. Ramana
Summary: This study proposes the prediction of pullout interaction coefficient of geogrids using data-driven machine learning regression algorithms, primarily focusing on extreme gradient boosting (XGBoost) method. The XGBoost model shows significantly superior and robust prediction compared to the random forest (RF) model, with an accuracy of 85% and 77% respectively. The importance analysis identifies normal stress as the most significant factor influencing the pullout interaction coefficients.
GEOTEXTILES AND GEOMEMBRANES
(2022)
Article
Automation & Control Systems
Hoang D. Nguyen, Young-Joo Lee, James M. Lafave, Myoungsu Shin
Summary: This study develops machine learning models for seismic fragility analysis of steel moment frames. Four machine learning methods were employed and nonlinear time history analyses were conducted on 616 steel moment frames to construct the fragility curves. The GBRT and XGBoost models were proposed as the best models based on their performance.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Environmental Sciences
Zheyu He, Yuanjian Yang, Runzhuo Fang, Shaohui Zhou, Wenchuan Zhao, Yingjie Bai, Junsheng Li, Bo Wang
Summary: This study establishes and verifies a satellite-based quantitative precipitation estimation (QPE) model using a random forest (RF) machine learning model based on Himawari-8 data, high-density automatic weather station observations, and reanalysis data. The interpretability of the RF model's output is further explored using the Shapley Additive Explanations (SHAP) algorithm. The results show that the RF model has a correlation coefficient of .64 and a root-mean-square error of .27 mm/h. The SHAP method provides a valuable way to interpret the output of machine learning models for satellite-based QPE and select input variables.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Engineering, Civil
Renbing An, Jiacong Yuan, Yi Pan, Duhang Yi
Summary: Traditional timber structures built on sloped land are more susceptible to seismic damage compared to structures built on flat land. The upper portion of the structure is found to be the weak point on sloped land, with potential issues such as tenon failure and column foot sliding.
ENGINEERING STRUCTURES
(2024)
Article
Engineering, Civil
Elyas Bayat, Federica Tubino
Summary: The current design guidelines for assessing floor vibration performance do not consider the influence of variability in the walking path on the dynamic response of floors. This study investigates the dynamic response of floors under a single pedestrian walking load, taking into account the randomness of the walking path and load. The effectiveness of the current guidelines in predicting floor response is critically assessed.
ENGINEERING STRUCTURES
(2024)
Article
Engineering, Civil
Gao Ma, Chunxu Hou, Hyeon-Jong Hwang, Linghui Chen, Zhenhao Zhang
Summary: Minimizing earthquake damage and improving repair efficiency are the main principles of resilient structures. This study proposed a repairable column with UHPC segments and replaceable energy dissipaters. The test results showed that the columns with UHPC segments and replaceable dissipaters exhibited high strength, deformation capacity, and energy dissipation.
ENGINEERING STRUCTURES
(2024)
Article
Engineering, Civil
Kartheek S. M. Sonti, Pavan Kumar Penumakala, Suresh Kumar Reddy Narala, S. Vincent
Summary: In this study, the compressive behavior of alumina hollow particles reinforced aluminum matrix syntactic foams (AMSF) was investigated using analytical, numerical, and experimental methods. The results showed that the FE solver ABAQUS could accurately predict the elastic and elastio-plastic behavior of AMSFs. The study also suggested that FE models have great potential in developing new materials and composites under compression loading.
ENGINEERING STRUCTURES
(2024)
Article
Engineering, Civil
Zheqi Peng, Xin Wang, Zhishen Wu
Summary: In this study, the statistical modeling of fiber-reinforced polymer (FRP) cables using the classic fiber bundle model is explored. The study considers important features of large-scale multi-tendon FRP cables, such as initial random slack and uneven tensile deformation among tendons. A parametric study and reliability analysis are conducted to predict the load-displacement relation and design thousand-meter-scale FRP cables. The study emphasizes the relation between the reliability index beta of the cable and the safety factor gamma of the FRP material.
ENGINEERING STRUCTURES
(2024)
Article
Engineering, Civil
Yanchao Shi, Shaozeng Liu, Ye Hu, Zhong-Xian Li, Yang Ding
Summary: This paper introduces a damage assessment method for reinforced concrete (RC) columns under blast loading, using modal parameter measurement as the evaluation index. The validity of the proposed method is validated through numerical and experimental analysis. The results show that this modal-based damage assessment method is applicable for non-destructive evaluation of blast-induced damage of RC columns.
ENGINEERING STRUCTURES
(2024)
Article
Engineering, Civil
Xiaolin Zou, Maosheng Gong, Zhanxuan Zuo, Qifang Liu
Summary: This paper proposes an efficient framework for assessing the collapse capacity of structures in earthquake engineering. The framework is based on an accurate equivalent single-degree-of-freedom (ESDOF) system, calibrated by a meta-heuristic optimization method. The proposed framework has been validated through case studies, confirming its accuracy and efficiency.
ENGINEERING STRUCTURES
(2024)
Article
Engineering, Civil
Jie Hu, Weiping Wen, Chenyu Zhang, Changhai Zhai, Shunshun Pei, Zhenghui Wang
Summary: A deep learning-based rapid peak seismic response prediction model is proposed for the most common two-story and three-span subway stations. The model predicts the peak seismic responses of subway stations using a data-driven approach and limited information, achieving good predictive performance and generalization ability, and demonstrating significantly higher computational efficiency compared to numerical simulation methods.
ENGINEERING STRUCTURES
(2024)
Article
Engineering, Civil
Jin Ho Lee, Jeong-Rae Cho
Summary: A simplified model is proposed to estimate the earthquake responses of a rectangular liquid storage tank considering the fluid-structure interactions. The complex three-dimensional structural behavior of the tank is represented by a combination of fundamental modes of a rectangular-ring-shaped frame structure and a cantilever beam. The system's governing equation is derived, and earthquake responses such as deflection, hydrodynamic pressure, base shear, and overturning moment are obtained from the solution.
ENGINEERING STRUCTURES
(2024)
Article
Engineering, Civil
W. J. Lewis, J. M. Russell, T. Q. Li
Summary: The work discusses the key features and advantages of optimal 2-pin arches shaped by statistically prevalent load and constant axial stress. It extends the design space of symmetric arches to cover asymmetric forms and provides minimum values of constant stress for form-finding of such arches made of different materials. The analysis shows that constant stress arches exhibit minimal stress response and have potential implications for sustainability and durability of future infrastructure.
ENGINEERING STRUCTURES
(2024)
Article
Engineering, Civil
Wen-ming Zhang, Han-xu Zou, Jia-qi Chang, Tian-cheng Liu
Summary: Saddle position is crucial in the construction and control of suspension bridges. This study proposes an analytical approach to estimate the saddle positions in the completed bridge state and discusses the calculation under different definitions. The relationship between the saddle position and the tower's centerline is analyzed, along with the eccentric compression of the tower. The feasibility of the proposed method is verified through a real-life suspension bridge.
ENGINEERING STRUCTURES
(2024)
Article
Engineering, Civil
Shaise K. John, Alessio Cascardi, Yashida Nadir
Summary: This study experimentally investigated the use of TRM material for reinforcing concrete columns. The results showed that increasing the number of textile layers effectively increased the axial strength. Additionally, the choice of fiber type and hybrid textile configuration also had a significant impact on strength improvement. A new design model that considers the effects of both the confining matrix and textile was proposed.
ENGINEERING STRUCTURES
(2024)
Article
Engineering, Civil
Chandrashekhar Lakavath, S. Suriya Prakash
Summary: This study experimentally investigated the shear behavior of post-tensioned UHPFRC girders, considering factors such as prestress level, fiber volume fraction, and types of steel fibers. The results showed that increasing prestress and fiber dosage could enhance the ultimate load-carrying capacity of the girders, reduce crack angle, and increase shear cracking load.
ENGINEERING STRUCTURES
(2024)
Article
Engineering, Civil
Vahid Goodarzimehr, Siamak Talatahari, Saeed Shojaee, Amir H. Gandomi
Summary: In this paper, an Improved Marine Predators Algorithm (IMPA) is proposed for size and shape optimization of truss structures subject to natural frequency constraints. The results indicate that IMPA performs better in solving these nonlinear structural optimization problems compared to other state-of-the-art algorithms.
ENGINEERING STRUCTURES
(2024)
Article
Engineering, Civil
Chun-Xu Qu, Jin-Zhao Jiang, Ting-Hua Yi, Hong-Nan Li
Summary: In this paper, a computer vision-based method is proposed to monitor the deformation and displacement of building structures by obtaining 3D coordinates of surface feature points. The method can acquire a large number of 3D coordinates in a noncontact form, improve the flexibility and density of measurement point layout, and is simple and cost-effective to operate.
ENGINEERING STRUCTURES
(2024)