Search
Now showing items 1-8 of 8
An EnergySaving Snake Locomotion Pattern Learned in a Physically Constrained Environment With Online ModelBased Policy Gradient Method
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Snake robots, composed of sequentially connected joint actuators, have recently gained increasing attention in the industrial field, like life detection in narrow space. Such robots can navigate the complex environment via ...
An Energy-Saving Snake Locomotion Pattern Learned in a Physically Constrained Environment With Online Model-Based Policy Gradient Method
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Snake robots, composed of sequentially connected joint actuators, have recently gained increasing attention in the industrial field, like life detection in narrow space. Such robots can navigate the complex environment via ...
Effect of Concrete Slab on Shear Capacity of Composite Plate Girders under Positive Moment
Publisher: American Society of Civil Engineers
Abstract: To evaluate the contribution of the concrete slab to the shear resistance of composite concrete-steel plate girders, two tests were carried out on one full-scale composite plate girder. The tested specimen was loaded to ...
Novel Approach to Satisfying Stakeholders in Megaprojects: Balancing Mutual Values
Publisher: ASCE
Abstract: Stakeholder satisfaction in megaprojects has always been a critical concern in research and practice because of the dynamism, complexity, and uncertainty of the various relationships between the project and the stakeholder ...
A Comprehensive Stakeholder-Typology Model Based on Salience Attributes in Construction Projects
Publisher: American Society of Civil Engineers
Abstract: This article presents a comprehensive project stakeholder typology model (PSTM) based on stakeholder salience attributes (SSAs). Stakeholders are considered as one of the major pillars of construction projects and management ...
Three-Dimensional Ship Hull Encoding and Optimization via Deep Neural Networks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Design and optimization of hull shapes for optimal hydrodynamic performance have been a major challenge for naval architectures. Deep learning bears the promise of comprehensive geometric representation and new design ...
StressGAN: A Generative Deep Learning Model for Two-Dimensional Stress Distribution Prediction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Using deep learning to analyze mechanical stress distributions is gaining interest with the demand for fast stress analysis. Deep learning approaches have achieved excellent outcomes when utilized to speed up stress ...
CSV
RIS