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Structural Modeling
Published in Wai-Fah Chen, Lian Duan, Bridge Engineering Handbook, 2019
Alexander Krimotat, Li-Hong Sheng
Prior to construction of any structural system, an extensive engineering design and analysis process must be undertaken. During this process, many engineering assumptions are routinely used in the application of engineering principles and theories to practice. A subset of these assumptions is used in a multitude of analytical methods available to structural analysts. In the modern engineering office, with the proliferation and increased power of personal computers, increasing numbers of engineers depend on structural analysis computer software to solve their engineering problems. This modernization of the engineering design office, coupled with an increased demand placed on the accuracy and efficiency of structural designs, requires a more-detailed understanding of the basic principles and assumptions associated with the use of modern structural analysis computer programs. The most popular of these programs are GT STRUDL, STAADIII, SAP2000, as well as some more powerful and complex tools such as ADINA, ANSYS, NASTRAN, and ABAQUS.
Heat Management
Published in Jerry C. Whitaker, Electronic Systems Maintenance Handbook, 2017
Several analytical and numerical computer codes varying widely in complexity and flexibility are available for use in the thermal modeling of VLSI packaging. The programs fall into the two following categories: Thermal characterization including, analytical programs such as TXYZ [Albers 1984] and TAMS [Ellison 1987], as well as numerical analysis programs based on a finite-difference (with electrical equivalents) approach such as TRUMP (Edwards 1969], TNETFA [Ellison 1987], SINDA [COSMIC 1982b].General nonlinear codes, such as ANSYS [Swanson] ADINAT [Adina], NASTRAN [COSMIC 1982a], NISA [COSMIC 1982c], and GIFTS [Casa] (all based on finite-element approach), to name only a few.
Design of Biodegradable Mg Alloy Implants with Finite Element Analysis
Published in Yufeng Zheng, Magnesium Alloys as Degradable Biomaterials, 2015
In mathematics, the finite element method (FEM) is a numerical technique for finding approximate solutions to boundary value problems for differential equations. It uses variational methods (the calculus of variations) to minimize an error function and produce a stable solution. Analogous to the idea that connecting many tiny straight lines can approximate a larger circle, FEM encompasses all the methods for connecting many simple element equations over many small subdomains, named finite elements, to approximate a more complex equation over a larger domain. Finite element analysis (FEA) has been widely used for the testing and optimization of biomedical device designs for its low costs and high efficiency compared to the conventional prototype testing. Abaqus, Ansys, Adina, Hypermesh, Femap/NX Nastran, and some other FEA software are often used in this area.
Estimation of coronary stenosis severity based on flow distribution ratios
Published in Computer Methods in Biomechanics and Biomedical Engineering, 2022
Idit Avrahami, Hadar Biran, Alex Liberzon
The CFD model served as a simulator for exploring different cases, substituting (for the sake of this study) the real patient-specific cases in the suggested workflow. The numerical analysis included steady-state CFD simulations in a model with a geometry shown in Figure 4, which is identical for both numerical and experimental models. The simulations used the commercial package ADINA (ADINA R&D, Inc. v. 9.0.0). The flow was assumed to be laminar, and the blood was assumed incompressible and homogenous with a density of ρ = 1100 kg/m3 and Newtonian with a dynamic viscosity of µ =0.0035 kg/ms. The flow and pressure fields in the fluid domain were calculated by solving the incompressible continuity and Navier–Stokes equations for viscous fluid flows: where P is the static pressure, U is the velocity vector and t is time. The governing equations were solved using the finite element method (FEM) (ADINA R&D 2005). Since steady-state simulations were assumed, the vessel's compliance was not considered. Therefore, in all simulations, the arterial wall was assumed rigid and no-slip/no-penetration conditions were defined on all the outer surfaces.
Numerical study of the blockage length effect on the transient wave in pipe flows
Published in Journal of Hydraulic Research, 2018
Ming Zhao, Mohamed S. Ghidaoui, Moez Louati, Huan-Feng Duan
Many commercial software packages for CFD are readily available, including Fluent, CFX (Ansys, located in Canonsburg, Pennsylvania, USA, http://www.ansys.com) and Flow-3D (Flow Science, located in Santa Fe, New Mexico, USA, https://www.flow3d.com). For the current water hammer case, where the fluid is considered slightly compressible, the commercial software ADINA (ADINA R & D, Inc, located in Watertown, Massachusetts, USA, http://www.adina.com) is suitable. The ADINA system is used for linear and nonlinear finite element analysis of solids and structures, heat transfer, fluids and electromagnetics. In this paper, the pipe wall is considered to be rigid and only the fluid flow is studied. In the near future, pipe wall elasticity or pipe wall viscoelasticity will be studied in situations where fluid–structure interaction is considered to be important.
Numerical analysis of seepage field of bucket foundations for offshore wind turbines
Published in Ships and Offshore Structures, 2018
Ruiqi Hu, Puyang Zhang, Hongyan Ding, Conghuan Le
ADINA (Automatic Dynamic Incremental Nonlinear Analysis) has four core modules: ADINA Structures for linear and nonlinear analysis of solids and structures; ADINA Thermal for analysis of heat transfer in solids and field problems; ADINA CFD for analysis of compressible and incompressible flows, including heat transfer; ADINA EM for analysis of electromagnetic phenomena. These modules can be used fully coupled together to solve multi-physics problems, where the response of the system is affected by the interaction of several distinct physical fields. In this paper, we adopt the ADINA Thermal module to investigate the seepage problem. The feasibility of this method has been verified by Zhang et al. (2017, 2018).