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Structural performance assessment of GFRP elastic gridshells by machine learning interpretability methods

Soheila KOOKALANI; Bin CHENG; Jose Luis Chavez TORRES

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 10,   Pages 1249-1266 doi: 10.1007/s11709-022-0858-5

Abstract: The prediction of structural performance plays a significant role in damage assessment of glass fiber reinforcement polymer (GFRP) elastic gridshell structures. Machine learning (ML) approaches are implemented in this study, to predict maximum stress and displacement of GFRP elastic gridshell structures. Several ML algorithms, including linear regression (LR), ridge regression (RR), support vector regression (SVR), K-nearest neighbors (KNN), decision tree (DT), random forest (RF), adaptive boosting (AdaBoost), extreme gradient boosting (XGBoost), category boosting (CatBoost), and light gradient boosting machine (LightGBM), are implemented in this study. Output features of structural performance considered in this study are the maximum stress as f1(x) and the maximum displacement to self-weight ratio as f2(x). A comparative study is conducted and the Catboost model presents the highest prediction accuracy. Finally, interpretable ML approaches, including shapely additive explanations (SHAP), partial dependence plot (PDP), and accumulated local effects (ALE), are applied to explain the predictions. SHAP is employed to describe the importance of each variable to structural performance both locally and globally. The results of sensitivity analysis (SA), feature importance of the CatBoost model and SHAP approach indicate the same parameters as the most significant variables for f1(x) and f2(x).

Keywords： machine learning     gridshell structure     regression     sensitivity analysis     interpretability methods    

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Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide application

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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A review of optimization modeling and solution methods in renewable energy systems

Frontiers of Engineering Management   Pages 640-671 doi: 10.1007/s42524-023-0271-3

Abstract: Science database, this study reviews the decision-making optimization problems, models, and solution methods

Keywords： renewable energy system     bibliometrics     mathematical programming     optimization models     solution methods    

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Intelligent methods for the process parameter determination of plastic injection molding

Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 1,   Pages 85-95 doi: 10.1007/s11465-018-0491-0

Abstract:

Injection molding is one of the most widely used material processing methods in producing plasticThis article reviews the recent studies and developments of the intelligent methods applied in the processThese intelligent methods are classified into three categories: Case-based reasoning methods, expertsystem-based methods, and data fitting and optimization methods.

Keywords： injection molding     intelligent methods     process parameters     optimization    

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Cyber–Physical Power System (CPPS): A review on measures and optimization methods of system resilience

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 503-518 doi: 10.1007/s42524-021-0163-3

Abstract: On the basis of these assessment measures, the optimization methods of CPPS resilience are reviewed fromThe recent advances in modeling methods for cascading failures within the CPPS, which is the theoretical

Keywords： Cyber–Physical Power System     resilience assessment     resilience optimization     cascading failure modeling    

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From Green to Sustainability—Trends in the Assessment Methods of Green Buildings

Steve Hsueh-Ming Wang,Paula Williams,Jing Shi,Huojun Yang

Frontiers of Engineering Management 2015, Volume 2, Issue 2,   Pages 114-121 doi: 10.15302/J-FEM-2015018

Abstract: This research investigates recent developments in assessment methods of green buildings and compares

Keywords： green     sustainability     buildings     assessment     methods     rating systems    

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Edge preparation methods for cutting tools: a review

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 4, doi: 10.1007/s11465-023-0766-y

Abstract: Various edge preparation methods have been proposed for different tool matrix materials, geometries,First, typical edge characterization methods, which associate the microgeometric characteristics of the, advantages, and limitations of these methods are systematically summarized and analyzed.Edge preparation methods are classified into two categories: mechanical processing methods and nontraditionalprocessing methods.

Keywords： edge preparation method     preparation principle     cutting edge geometry     edge characterization     tool performance    

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A review of measurement methods for peracetic acid (PAA)

Chen Cheng, Haodong Li, Jinling Wang, Hualin Wang, Xuejing Yang

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 5, doi: 10.1007/s11783-020-1266-5

Abstract: Therefore, analytical methods need to achieve a certain level of selectivity, particularly when peroxyaceticThis review summarizes the measurement and detection methods of peroxyacetic acid, comparing the principle, adaptability, and relative merits of these methods.

Keywords： Peroxyacetic acid     Measurement methods     Titration     Colorimetric     Chromatography     NMR    

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Comparative cost analysis of three different anesthesia methods in gynecological laparoscopic surgery

Xiaohui Chi, Yeling Chen, Mingfeng Liao, Fei Cao, Yuke Tian, Xueren Wang

Frontiers of Medicine 2012, Volume 6, Issue 3,   Pages 311-316 doi: 10.1007/s11684-012-0205-7

Abstract:

In the current study, we assessed and evaluated the costs and benefits of three popular methods ofno significant difference in patients’ satisfaction and safety among the three above-mentioned methods

Keywords： general anesthesia     economics     cost    

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Behavioral methods for the functional assessment of hair cells in zebrafish

Qin Yang, Peng Sun, Shi Chen, Hongzhe Li, Fangyi Chen

Frontiers of Medicine 2017, Volume 11, Issue 2,   Pages 178-190 doi: 10.1007/s11684-017-0507-x

Abstract:

Zebrafish is an emerging animal model for studies on auditory system. This model presents high comparability with humans, good accessibility to the hearing organ, and high throughput capacity. To better utilize this animal model, methodologies need to be used to quantify the hearing function of the zebrafish. Zebrafish displays a series of innate and robust behavior related to its auditory function. Here, we reviewed the advantage of using zebrafish in auditory research and then introduced three behavioral tests, as follows: the startle response, the vestibular-ocular reflex, and rheotaxis. These tests are discussed in terms of their physiological characteristics, up-to-date technical development, and apparatus description. Test limitation and areas to improve are also introduced. Finally, we revealed the feasibility of these applications in zebrafish behavioral assessment and their potential in the high-throughput screening on hearing-related genes and drugs.

Keywords： zebrafish (Danio rerio)     behavior     auditory     startle response     vestibular-ocular reflex     rheotaxis    

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Computational methods for fracture in rock: a review and recent advances

Ali JENABIDEHKORDI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2,   Pages 273-287 doi: 10.1007/s11709-018-0459-5

Abstract: We present an overview of the most popular state-of-the-art computational methods available for modellingThe summarized numerical methods can be classified into three categories: Continuum Based Methods, DiscreteCrack Approaches, and Block-Based Methods.We will not only provide an extensive review of those methods which can be found elsewhere but particularly

Keywords： numerical modelling     method development     rock mechanics     fractured rock     rock fracturing    

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Visual interpretability for deep learning: a survey Review

Quan-shi ZHANG, Song-chun ZHU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 27-39 doi: 10.1631/FITEE.1700808

Abstract: Although deep neural networks have exhibited superior performance in various tasks, interpretabilityAt present, deep neural networks obtain high discrimination power at the cost of a low interpretabilityWe believe that high model interpretability may help people break several bottlenecks of deep learningfocus on convolutional neural networks (CNNs), and revisit the visualization of CNN representations, methodsrepresentations, learning of CNNs with disentangled representations, and middle-to-end learning based on model interpretability

Keywords： Artificial intelligence     Deep learning     Interpretable model    

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Performance of seven highway construction contracting methods analyzed by project size

Yuanxin ZHANG, Abdol CHINI, R. Edward MINCHIN Jr., Lourdes PTSCHELINZEW, Dev SHAH

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 240-250 doi: 10.15302/J-FEM-2018040

Abstract: To mitigate the negative aspects of DBB, several alternative contracting methods and alternative projectWith regard to the actual performance of the contracting methods, each performs differently within different

Keywords： alternative contracting methods     time     cost     performance evaluation    

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Quorum sensing regulation methods and their effects on biofilm in biological waste treatment systems:

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 7, doi: 10.1007/s11783-021-1495-2

Abstract:

• Quorum sensing enhancement and inhibition methods are summarized.

Keywords： Quorum sensing     Biological waste treatment     Biofilm formation    

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High-order moment methods for LRFD including random variables with unknown probability distributions

Zhao-Hui LU, Yan-Gang ZHAO, Zhi-Wu YU

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 3,   Pages 288-295 doi: 10.1007/s11709-013-0210-1

Abstract: In almost all of the current reliability methods for the determination of the load and resistance factorsIn this paper, the high-order moment methods for LRFD including random variables with unknown probabilitythose obtained by first order reliability method (FORM), the target mean resistances obtained by both methods

Keywords： high-order moment methods     applicable range     load and resistance factors     target mean resistance    

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Title Author Date Type Operation

Structural performance assessment of GFRP elastic gridshells by machine learning interpretability methods

Soheila KOOKALANI; Bin CHENG; Jose Luis Chavez TORRES

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

A review of optimization modeling and solution methods in renewable energy systems

Journal Article

Intelligent methods for the process parameter determination of plastic injection molding

Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI

Journal Article

Cyber–Physical Power System (CPPS): A review on measures and optimization methods of system resilience

Journal Article

From Green to Sustainability—Trends in the Assessment Methods of Green Buildings

Steve Hsueh-Ming Wang,Paula Williams,Jing Shi,Huojun Yang

Journal Article

Edge preparation methods for cutting tools: a review

Journal Article

A review of measurement methods for peracetic acid (PAA)

Chen Cheng, Haodong Li, Jinling Wang, Hualin Wang, Xuejing Yang

Journal Article

Comparative cost analysis of three different anesthesia methods in gynecological laparoscopic surgery

Xiaohui Chi, Yeling Chen, Mingfeng Liao, Fei Cao, Yuke Tian, Xueren Wang

Journal Article

Behavioral methods for the functional assessment of hair cells in zebrafish

Qin Yang, Peng Sun, Shi Chen, Hongzhe Li, Fangyi Chen

Journal Article

Computational methods for fracture in rock: a review and recent advances

Ali JENABIDEHKORDI

Journal Article

Visual interpretability for deep learning: a survey

Quan-shi ZHANG, Song-chun ZHU

Journal Article

Performance of seven highway construction contracting methods analyzed by project size

Yuanxin ZHANG, Abdol CHINI, R. Edward MINCHIN Jr., Lourdes PTSCHELINZEW, Dev SHAH

Journal Article

Quorum sensing regulation methods and their effects on biofilm in biological waste treatment systems:

Journal Article

High-order moment methods for LRFD including random variables with unknown probability distributions

Zhao-Hui LU, Yan-Gang ZHAO, Zhi-Wu YU

Journal Article