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Bridging finite element and deep learning: High-resolution stress distribution prediction in structural

Hamed BOLANDI; Xuyang LI; Talal SALEM; Vishnu Naresh BODDETI; Nizar LAJNEF

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11,   Pages 1365-1377 doi: 10.1007/s11709-022-0882-5

Abstract: Finite-element analysis (FEA) for structures has been broadly used to conduct stress analysis of variouswas designed and trained to use the geometry, boundary conditions, and load as input to predict the stressThe trained DL model can predict the stress distributions with a mean absolute error of 0.9% and an absolutepeak error of 0.46% for the von Mises stress distribution.This study shows the feasibility and potential of using DL techniques to bypass FEA for stress analysis

Keywords： Deep Learning     finite element analysis     stress contours     structural components    

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Fatigue Life Prediction of Fiber Reinforced Metal Laminates Under Variable Amplitude Loading

Wu Xueren,Guo Yajun

Strategic Study of CAE 1999, Volume 1, Issue 3,   Pages 35-40

Abstract: The model was based on an analytical approach for the determination of the bridging stress over the crack

Keywords： fiber reinforced metal laminates     fatigue     bridging stress     delamination     life prediction    

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Fracture resistance on aggregate bridging crack in concrete

ZHANG Xiufang, XU Shilang

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 1,   Pages 63-70 doi: 10.1007/s11709-007-0006-2

Abstract: exhibited in quasi-brittle materials such as concrete is often mainly related to the action of aggregate bridging, which leads to the presence of a fracture process zone ahead of stress-free cracks in such materialsIn this investigation, the fracture resistance induced by aggregate bridging, denoted by GI-bridging,different strengths, G will change greatly whereas for specimens that are different in depth, whether GI-bridging
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Review of self-referenced measurement algorithms: Bridging lateral shearing interferometry and multi-probe

Dede ZHAI, Shanyong CHEN, Ziqiang YIN, Shengyi LI

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 2,   Pages 143-157 doi: 10.1007/s11465-017-0432-3

Abstract:

With the development of new materials and ultra-precision processing technology, the sizes of measured objects increase, and the requirements for machining accuracy and surface quality become more exacting. The traditional measurement method based on reference datum is inadequate for measuring a high-precision object when the quality of the reference datum is approximately within the same order as that of the object. Self-referenced measurement techniques provide an effective means when the direct reference-based method cannot satisfy the required measurement or calibration accuracy. This paper discusses the reconstruction algorithms for self-referenced measurement and connects lateral shearing interferometry and multi-probe error separation. In lateral shearing interferometry, the reconstruction algorithms are generally categorized into modal or zonal methods. The multi-probe error separation techniques for straightness measurement are broadly divided into two-point and three-point methods. The common features of the lateral shearing interferometry method and the multi-probe error separation method are identified. We conclude that the reconstruction principle in lateral shearing interferometry is similar to the two-point method in error separation on the condition that no yaw error exists. This similarity may provide a basis or inspiration for the development of both classes of methods.

Keywords： self-referenced measurement     lateral shearing interferometry     multi-probe error separation     surface metrology    

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Organophosphate esters in sediment from Taihu Lake, China: Bridging the gap between riverine sources

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1464-9

Abstract:

• Eleven OPEs were detected in river sediment and lake sediment in Taihu Lake.

Keywords： Organophosphate esters     Partition     Vertical distribution     Composition profile     Positive matrix factorization    

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Lignin-based polymer with high phenolic hydroxyl group content prepared by the alkyl chain bridging method

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 8,   Pages 1075-1084 doi: 10.1007/s11705-022-2272-x

Abstract: transport materials, phenolic hydroxyl groups were introduced in lignosulfonate (LS) via the alkyl chain bridgingresults indicate that the phenolic hydroxyl group of lignin can be easily boosted by the alkyl chain bridging

Keywords： lignosulfonate     phenolic group     PEDOT:PLS     hole extract layer     energy level    

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Bridging science, technology and policy in emerging contaminants control

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 5, doi: 10.1007/s11783-023-1665-5

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Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Frontiers of Engineering Management   Pages 727-735 doi: 10.1007/s42524-023-0266-0

Abstract: Deep Learning (DL) has revolutionized the field of Artificial Intelligence (AI) in various domains such as computer vision (CV) and natural language processing. However, DL models have limitations including the need for large labeled datasets, lack of interpretability and explainability, potential bias and fairness issues, and limitations in common sense reasoning and contextual understanding. On the other side, DL has shown significant potential in construction for safety and quality inspection tasks using CV models. However, current CV approaches may lack spatial context and measurement capabilities, and struggle with complex safety and quality requirements. The integration of Neuro-Symbolic Computing (NSC), an emerging field that combines DL and symbolic reasoning, has been proposed as a potential solution to address these limitations. NSC has the potential to enable more robust, interpretable, and accurate AI systems in construction by harnessing the strengths of DL and symbolic reasoning. The combination of symbolism and connectionism in NSC can lead to more efficient data usage, improved generalization ability, and enhanced interpretability. Further research and experimentation are needed to effectively integrate NSC with large models and advance CV technologies for precise reporting of safety and quality inspection results in construction.

Keywords： advanced AI in construction     safety and quality inspection     Neuro-Symbolic Computing     Deep Learning     computer vision    

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Bridging reliability and operations management for superior system availability: Challenges and opportunities

Frontiers of Engineering Management   Pages 391-405 doi: 10.1007/s42524-022-0206-4

Abstract: Recently, firms have begun to handle the design, manufacturing, and maintenance of capital goods through a consolidated mechanism called the integrated product-service system. This new paradigm enables firms to deliver high-reliability products while lowering the ownership cost. Hence, holistic optimization models must be proposed for jointly allocating reliability, maintenance, and spare parts inventory across the entire value chain. In the existing literature, these decisions are often made fragmentally, thus resulting in local optimality. This study reviews the extant works pertaining to reliability-redundancy allocation, preventative maintenance, and spare parts logistics models. We discuss the challenges and opportunities of consolidating these decisions under an integrated reliability-maintenance-inventory framework for attaining superior system availability. Specific interest is focused on the new product introduction phase in which firms face a variety of uncertainties, including installed base, usage, reliability, and trade policy. The goal is to call for tackling the integrated reliability-maintenance-inventory allocation model under a nonstationary operating condition. Finally, we place the integrated allocation model in the semiconductor equipment industry and show how the firm deploys reliability initiatives and after-sale support logistics to ensure the fleet uptime for its global customers.

Keywords： system availability     product-service integration     installed base     new product introduction     service supply chain     reliability-maintenance-inventory optimization    

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Deep Catalytic Cracking Technology Bridging Petroleum Processing with Chemical Industry

Li Zaiting

Strategic Study of CAE 1999, Volume 1, Issue 2,   Pages 67-71

Abstract:

Deep catalytic cracking (DCC) is a novel technology for producing basic organic raw material, especially propylene, from heavy oil. Research Institute of Petroleum Processing, SINOPEC developed the process and catalyst, and a commercial demonstration was successfully completed in 1990 at Jinan Refinery, China. Up to now, 7 units have been constructed and put into production worldwide. The low carbon olefins produced have been further synthesized to high quality polypropylene, polyethylene, acrylonitrile and other chemicals. Currently, the feedstock has been extended to atmospheric residue and tailor-made catalysts are available. The commercial experience of the first DCC plant outside China, TPI DCC in Thailand, is presented.

Keywords： deep catalytic cracking     petrochemical industry     propylene     isobutylene    

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EFFECTS OF TRANSPORT STRESS ON THE INTESTINES INVOLVING NEURONAL NITRIC OXIDE SYNTHASE

Frontiers of Agricultural Science and Engineering   Pages 285-295 doi: 10.15302/J-FASE-2022469

Abstract:

● Transport stress declined the level of leukocytes including lymphocytes

Keywords： intestine     nNOS     nNOS-positive neurons     transport stress    

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Analysis on annealing-induced stress of blind-via TSV using FEM

Jie SHAO, Tielin SHI, Li DU, Lei SU, Xiangning LU, Guanglan LIAO

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 401-410 doi: 10.1007/s11465-017-0457-7

Abstract: However, in TSV manufacturing, thermo-mechanical stress is induced during the annealing process, oftenTop interface stress analysis on the TSV structure shows that the curvature of via openings releasesstress concentration that leads to ~60 MPa decrease of normal stresses,  Keywords： through silicon via (TSV)     annealing-induced stress     interface stress     plastic deformation     finite element    

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An investigation on stress distribution effect on multi- piezoelectric energy harvesters

Hailu YANG, Dongwei CAO

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 3,   Pages 301-307 doi: 10.1007/s11709-017-0404-z

Abstract: The stress distribution will significantly affect the piezoelectric material performance.When the same multi piezoelectric units work together, if the stress state of the piezoelectric unitsFor uneven stress distribution, the optimal output mode is that each of the piezoelectric units rectified

Keywords： piezoelectric transducer     uneven stress     impedance matching     optimal energy output    

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The formation mechanism and the influence factor of residual stress in machining

Zhaoxu QI,Bin LI,Liangshan XIONG

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 3,   Pages 265-269 doi: 10.1007/s11465-014-0311-0

Abstract: On the basis of the analytical model for residual stress, a series of simulations for residual stressorder to obtain the influences of cutting speed, depth of cut and tool edge radius on surface residual stressAnd these influences are explained from the perspective of formation mechanism of residual stress in

Keywords： residual stress     analytical model     strain     plastic     cutting parameter    

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Stress corrosion and residual stress of H2S in petrochemical special equipment

Zhang Yiliang,Xu Jinquan,Wang Yuci

Strategic Study of CAE 2009, Volume 11, Issue 8,   Pages 38-43

Abstract:

To understand the present status of the issue of H2S stressoverview containing the environment definition, test method, influence factor, evaluation standard of stresscorrosion and the material demand in H2S stress corrosion issue is accomplished.Meanwhile, a discussion of the causation, test method and elimination measure of welding residual stress

Keywords： H2S stress corrosion     operation manual     evaluation standard     welding residual stress    

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Title Author Date Type Operation

Bridging finite element and deep learning: High-resolution stress distribution prediction in structural

Hamed BOLANDI; Xuyang LI; Talal SALEM; Vishnu Naresh BODDETI; Nizar LAJNEF

Journal Article

Fatigue Life Prediction of Fiber Reinforced Metal Laminates Under Variable Amplitude Loading

Wu Xueren,Guo Yajun

Journal Article

Fracture resistance on aggregate bridging crack in concrete

ZHANG Xiufang, XU Shilang

Journal Article

Review of self-referenced measurement algorithms: Bridging lateral shearing interferometry and multi-probe

Dede ZHAI, Shanyong CHEN, Ziqiang YIN, Shengyi LI

Journal Article

Organophosphate esters in sediment from Taihu Lake, China: Bridging the gap between riverine sources

Journal Article

Lignin-based polymer with high phenolic hydroxyl group content prepared by the alkyl chain bridging method

Journal Article

Bridging science, technology and policy in emerging contaminants control

Journal Article

Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Journal Article

Bridging reliability and operations management for superior system availability: Challenges and opportunities

Journal Article

Deep Catalytic Cracking Technology Bridging Petroleum Processing with Chemical Industry

Li Zaiting

Journal Article

EFFECTS OF TRANSPORT STRESS ON THE INTESTINES INVOLVING NEURONAL NITRIC OXIDE SYNTHASE

Journal Article

Analysis on annealing-induced stress of blind-via TSV using FEM

Jie SHAO, Tielin SHI, Li DU, Lei SU, Xiangning LU, Guanglan LIAO

Journal Article

An investigation on stress distribution effect on multi- piezoelectric energy harvesters

Hailu YANG, Dongwei CAO

Journal Article

The formation mechanism and the influence factor of residual stress in machining

Zhaoxu QI,Bin LI,Liangshan XIONG

Journal Article

Stress corrosion and residual stress of H2S in petrochemical special equipment

Zhang Yiliang,Xu Jinquan,Wang Yuci

Journal Article