Topometry Optimization of Plastically Deformable Sheet-Metal Structure with Prescribed Force-Displacement Response for Controlled Energy Absorption

2010 ◽  
Author(s):  
Chandan Mozumder ◽  
Andrés Tovar ◽  
John Renaud
Keyword(s):  
Energy Absorption ◽  
Sheet Metal ◽  
Metal Structure ◽  
Displacement Response ◽  
Force Displacement

scholarly journals Study on improvement of prefolded energy absorption device to constant resistance and its mechanical properties

2021 ◽  
Vol 104 (3) ◽  
pp. 003685042110368
Author(s):  
Dong An ◽  
Jiaqi Song ◽  
Hailiang Xu ◽  
Jingzong Zhang ◽  
Yimin Song ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Energy Absorption ◽  
Compression Test ◽  
Side Wall ◽  
Concave Side ◽  
Displacement Curve ◽  
Static Compression ◽  
Constant Resistance ◽  
The Impact ◽  
Force Displacement

When the rock burst occurs, energy absorption support is an important method to solve the impact failure. To achieve constant resistance performance of energy absorption device, as an important component of the support, the mechanical properties of one kind of prefolded tube is analyzed by quasi-static compression test. The deformation process of compression test is simulated by ABAQUS and plastic strain nephogram of the numerical model are studied. It is found that the main factors affecting the fluctuation of force-displacement curve is the stiffness of concave side wall. The original tube is improved to constant resistance by changing the side wall. The friction coefficient affects the folding order and form of the energy absorbing device. Lifting the concave side wall stiffness can improve the overall stiffness of energy absorption device and slow down the falling section of force-displacement curve. It is always squeezed by adjacent convex side wall in the process of folding, with large plastic deformation. Compared with the original one, the improved prefolded tube designed in this paper can keep the maximum bearing capacity ( Pmax), increase the total energy absorption ( E), improve the specific energy absorption (SEA), and decrease the variance ( S2) of force-displacement curve.

Evaluation Method of U-Bolt Energy Absorption

2009 ◽  
Author(s):  
Eiji Shirai ◽  
Tetsuya Zaitsu ◽  
Kazutoyo Ikeda ◽  
Toshiaki Yoshii ◽  
Masami Kondo ◽  
...  
Keyword(s):  
Energy Absorption ◽  
Evaluation Method ◽  
Design Procedure ◽  
Piping System ◽  
Design Technique ◽  
Dynamic Tests ◽  
Key Issues ◽  
Static And Dynamic Tests ◽  
Force Displacement ◽  
Rigid Design

At domestic PWR plants in Japan, one of the major key issues is earthquake-proof safety [1–3]. Recently, a design procedure using energy absorption, not conventional rigid design, was authorized according to revised review guidelines for aseismic design (JEAC4601). Therefore, we focused on the design technique that utilizes energy absorption effects to reduce the seismic responses of the piping system with U-Bolt, by the static and dynamic tests of simplified piping model supported by U-Bolt. The force-displacement characteristics and a fatigue diagram were obtained by the tests.

Seismic assessment of reinforced concrete columns with short lap splices

2021 ◽  
pp. 875529302199483
Author(s):  
Eyitayo A Opabola ◽  
Kenneth J Elwood
Keyword(s):  
Reinforced Concrete ◽  
Failure Mode ◽  
Failure Modes ◽  
Concrete Columns ◽  
Seismic Assessment ◽  
Rc Columns ◽  
Lap Splices ◽  
Displacement Response ◽  
Force Displacement ◽  
Probable Failure

Existing reinforced concrete (RC) columns with short splices in older-type frame structures are prone to either a shear or bond mechanism. Experimental results have shown that the force–displacement response of columns exhibiting these failure modes are different from flexure-critical columns and typically have lower deformation capacity. This article presents a failure mode-based approach for seismic assessment of RC columns with short splices. In this approach, first, the probable failure mode of the component is evaluated. Subsequently, based on the failure mode, the force–displacement response of the component can be predicted. In this article, recommendations are proposed for evaluating the probable failure mode, elastic rotation, drift at lateral failure, and drift at axial failure for columns with short splices experiencing shear, flexure, or bond failures.

scholarly journals A study for differences between different design drawing programs in sheet metal design

2018 ◽  
Vol 213 ◽  
pp. 01002
Author(s):  
Yu-Che Huang ◽  
Tien-Chaun Yeh
Keyword(s):  
Sheet Metal ◽  
Metal Structure ◽  
Basic Structure ◽  
Structure Design ◽  
Design Flow ◽  
Processing Technology ◽  
3D Graphics ◽  
The Future ◽  
Metal Design ◽  
Design Case

Most appearance and structure design has always been based on the product processing technology as the spindle, in general; sheet metal design changes in the appearance of the structure is based mainly on the basic structure of products and processing technology as the main core, and the appearance of manufacturing more Mechanical sheet metal, so most designers will use different design procedures to draw 3D graphics in the assembly or disassembly of parts, but different drawing procedures will affect the future assembly and disassembly of the design. In this study, we will compare two different models by building a model program using two different sheet metal structure drawings to present the problems that may be encountered in sheet metal design through a specific design flow. Through a real 3D drawing and design case, 3D graphics design flow, and finally through a design case to do a verification, to provide a reference for the future design.

scholarly journals Application of Machine Learning to Bending Processes and Material Identification

Metals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1418
Author(s):  
Daniel J. Cruz ◽  
Manuel R. Barbosa ◽  
Abel D. Santos ◽  
Sara S. Miranda ◽  
Rui L. Amaral
Keyword(s):  
Machine Learning ◽  
Sheet Metal ◽  
Bending Test ◽  
Model Parameters ◽  
Learning Approaches ◽  
Additional Information ◽  
The Many ◽  
And Control ◽  
Force Displacement ◽  
Springback Angle

The increasing availability of data, which becomes a continually increasing trend in multiple fields of application, has given machine learning approaches a renewed interest in recent years. Accordingly, manufacturing processes and sheet metal forming follow such directions, having in mind the efficiency and control of the many parameters involved, in processing and material characterization. In this article, two applications are considered to explore the capability of machine learning modeling through shallow artificial neural networks (ANN). One consists of developing an ANN to identify the constitutive model parameters of a material using the force–displacement curves obtained with a standard bending test. The second one concentrates on the springback problem in sheet metal press-brake air bending, with the objective of predicting the punch displacement required to attain a desired bending angle, including additional information of the springback angle. The required data for designing the ANN solutions are collected from numerical simulation using finite element methodology (FEM), which in turn was validated by experiments.

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