相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Deep autoencoder based energy method for the bending, vibration, and buckling analysis of Kirchhoff plates with transfer learning
Xiaoying Zhuang et al.
EUROPEAN JOURNAL OF MECHANICS A-SOLIDS (2021)
Parametric deep energy approach for elasticity accounting for strain gradient effects
Vien Minh Nguyen-Thanh et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2021)
High correlated variables creator machine: Prediction of the compressive strength of concrete
Aydin Shishegaran et al.
COMPUTERS & STRUCTURES (2021)
Linear and non-linear SVM prediction for fresh properties and compressive strength of high volume fly ash self-compacting concrete
Mohammad Azimi-Pour et al.
CONSTRUCTION AND BUILDING MATERIALS (2020)
Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach
De-Cheng Feng et al.
CONSTRUCTION AND BUILDING MATERIALS (2020)
Performance prediction of electromagnetic band gap structure for microstrip antenna using FDTD-PBC unit cell analysis and Taguchi's multi-objective optimization method
Rajshri C. Mahajan et al.
MICROELECTRONIC ENGINEERING (2020)
An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications
E. Samaniego et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2020)
Computational predictions for estimating the maximum deflection of reinforced concrete panels subjected to the blast load
Aydin Shishegaran et al.
INTERNATIONAL JOURNAL OF IMPACT ENGINEERING (2020)
Transfer learning enhanced physics informed neural network for phase-field modeling of fracture
Somdatta Goswami et al.
THEORETICAL AND APPLIED FRACTURE MECHANICS (2020)
Gene expression programming for process parameter optimization during ultrafiltration of surfactant wastewater using hydrophilic polyethersulfone membrane
Aydin Shishegaran et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2020)
Compressive strength prediction of eco-efficient GGBS-based geopolymer concrete using GEP method
Amir Ali Shahmansouri et al.
JOURNAL OF BUILDING ENGINEERING (2020)
Compressive strength prediction of high-performance concrete using gradient tree boosting machine
Mosbeh R. Kaloop et al.
CONSTRUCTION AND BUILDING MATERIALS (2020)
Electromechanical properties of Boron Nitride Nanotube: Atomistic bond potential and equivalent mechanical energy approach
Mohammad Salavati et al.
COMPUTATIONAL MATERIALS SCIENCE (2018)
Numerical Simulation and Experiment of Hardening Behaviors in Unsaturated Polyester Resin Artificial Marble Blocks Under Microwave Radiation
Tong Feng et al.
IEEE TRANSACTIONS ON PLASMA SCIENCE (2016)
Comparison of Artificial Stone Made from Sludge Stone with Travertine Stone waste of Stone Cutting Factory
Nasim Sarami et al.
INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH IN AFRICA (2016)
Probabilistic multiconstraints optimization of cooling channels in ceramic matrix composites
Hamid Ghasemi et al.
COMPOSITES PART B-ENGINEERING (2015)
Development of Epoxy Matrix Artificial Stone Incorporated with Sintering Residue from Steelmaking Industry
Elaine Aparecida Santos Carvalho et al.
MATERIALS RESEARCH-IBERO-AMERICAN JOURNAL OF MATERIALS (2015)
FABRICATION OF ARTIFICIAL STONE FROM MARBLE RESIDUE BY RESIN TRANSFER MOLDING
Carlos Eduardo Gomes Ribeiro et al.
20TH BRAZILIAN CONFERENCE ON MATERIALS SCIENCE AND ENGINEERING (2014)
Artificial aggregate made from waste stone sludge and waste silt
Fang-Chih Chang et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2010)
Artificial stone slab production using waste glass, stone fragments and vacuum vibratory compaction
Ming-Yu Lee et al.
CEMENT & CONCRETE COMPOSITES (2008)
An adaptive neuro-fuzzy inference system for bridge risk assessment
Ying-Ming Wang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2008)
The effects of cutter path strategies on surface roughness of pocket milling of 1.2738 steel based on Taguchi method
Ceudet Gologlu et al.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2008)
Utilization of limestone dust for artificial stone production: an experimental approach
M Galetakis et al.
MINERALS ENGINEERING (2004)