scholarly journals Cohesive-frictional interface model for timber-concrete contacts

2021 ◽  
pp. 111174
Author(s):  
Joonas Jaaranen ◽  
Gerhard Fink
Keyword(s):  
Interface Model ◽  
Frictional Interface

Structural Behaviour Evaluation by Numerical Simulations for Innovative Solutions of Hybrid Lintels - Part 2: FEM Analysis

2017 ◽  
Vol 21 ◽  
pp. 286-293
Author(s):  
Cristina E. Lanivschi ◽  
Oana Neculai ◽  
Dorina Nicolina Isopescu
Keyword(s):  
Reference Model ◽  
Fem Analysis ◽  
Steel Reinforcement ◽  
Interface Model ◽  
Structural Behaviour ◽  
Weak Bond ◽  
Innovative Solutions ◽  
Frictional Interface ◽  
Service State ◽  
Concrete Component

The paper presents a detailed analysis on the performance of reinforced concrete (RC)/ aerated autoclaved concrete (AAC) hybrid lintels, studied using finite element method (FEM), through numerical modelling. The analyzed lintels are a combination of modules, made of AAC and RC or pre-stressed concrete, which can be used for closing any span of windows or doors, for any wall thickness. To simulate the hybrid modules lintels in their service state, FEM modelling was used, together with rigorous numerical calculus, in order to better understand their flexural behaviour, the AAC-RC interface area and the way the material properties affect the structural performance of the analyzed lintels. The numerical analysis was initiated with validation of the reference model with analytically determined efforts in concrete component of the lintel. A subsequent model was constructed by adding the steel reinforcement and AAC component to the reference model. The analysis was conducted for two scenarios of a perfect and possibly very weak bond of RC/ AAC interface on “bonded interface model”, BIM and respectively “frictional interface model”, FIM models. The results showed that steel reinforcement had greater effect on the lintel`s stiffness than AAC component, while the effect of AAC is almost cancelled in the case of a weak bond of the interface. Future investigation needs to be developed considering an analytical model based on FIM model calibrated with laboratory measurements.

Nonlocal Interface Mechanical Model

2007 ◽  
Vol 539-543 ◽  
pp. 2613-2618
Author(s):  
Guido Borino ◽  
Boris Failla ◽  
Francesco Parrinello
Keyword(s):  
Mechanical Model ◽  
Process Zone ◽  
Constitutive Relations ◽  
Nonlocal Model ◽  
Interface Model ◽  
Stress Strain ◽  
Nonlocal Stress ◽  
Isotropic Damage ◽  
Frictional Interface ◽  
Consistent Approach

The paper presents a nonlocal elastic damage-frictional interface model. The reason to introduce nonlocal mechanical features inside the constitutive relations is justified by the fact that there are several circumstances, in which the interface displays inside an extended process zone with microstructural spatial interactions. Typically, spatial bridging mechanical effects can be effectively modeled by integral (strongly nonlocal) stress-strain relations. The paper develops an elastic nonlocal model with local isotropic damage and the relations are constructed following a thermodynamical consistent approach.

scholarly journals Experimental Testing and Analytical Modeling of Asymmetric End-Notched Flexure Tests on Glass-Fiber Metal Laminates

Metals ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 56 ◽  
Author(s):  
Konrad Dadej ◽  
Jarosław Bieniaś ◽  
Paolo Sebastiano Valvo
Keyword(s):  
Glass Fiber ◽  
Experimental Testing ◽  
Metal Composite ◽  
Interface Model ◽  
Experimental Campaign ◽  
Composite Interface ◽  
Theoretical Predictions ◽  
Elastic Interface ◽  
Fiber Metal ◽  
Rigid Interface

An experimental campaign on glass-fiber/aluminum laminated specimens was conducted to assess the interlaminar fracture toughness of the metal/composite interface. Asymmetric end-notched flexure tests were conducted on specimens with different fiber orientation angles. The tests were also modeled by using two different analytical solutions: a rigid interface model and an elastic interface model. Experimental results and theoretical predictions for the specimen compliance and energy release rate are compared and discussed.

scholarly journals An Improved Particle Swarm Optimization Based on Total Variation Regularization and Projection Constraint with Applications in Ground-Penetrating Radar Inversion: A Model Simulation Study

2021 ◽  
Vol 13 (13) ◽  
pp. 2514
Author(s):  
Qianwei Dai ◽  
Hao Zhang ◽  
Bin Zhang
Keyword(s):  
Particle Swarm Optimization ◽  
Total Variation ◽  
Ground Penetrating Radar ◽  
Particle Swarm ◽  
Premature Convergence ◽  
Total Variation Regularization ◽  
Interface Model ◽  
Swarm Optimization ◽  
Tv Regularization ◽  
Ground Penetrating

The chaos oscillation particle swarm optimization (COPSO) algorithm is prone to binge trapped in the local optima when dealing with certain complex models in ground-penetrating radar (GPR) data inversion, because it inherently suffers from premature convergence, high computational costs, and extremely slow convergence times, especially in the middle and later periods of iterative inversion. Considering that the bilateral connections between different particle positions can improve both the algorithmic searching efficiency and the convergence performance, we first develop a fast single-trace-based approach to construct an initial model for 2-D PSO inversion and then propose a TV-regularization-based improved PSO (TVIPSO) algorithm that employs total variation (TV) regularization as a constraint technique to adaptively update the positions of particles. B by adding the new velocity variations and optimal step size matrices, the search range of the random particles in the solution space can be significantly reduced, meaning blindness in the search process can be avoided. By introducing constraint-oriented regularization to allow the optimization search to move out of the inaccurate region, the premature convergence and blurring problems can be mitigated to further guarantee the inversion accuracy and efficiency. We report on three inversion experiments involving multilayered, fluctuated terrain models and a typical complicated inner-interface model to demonstrate the performance of the proposed algorithm. The results of the fluctuated terrain model show that compared with the COPSO algorithm, the fitness error (MAE) of the TVIPSO algorithm is reduced from 2.3715 to 1.0921, while for the complicated inner-interface model the fitness error (MARE) of the TVIPSO algorithm is reduced from 1.9539 to 1.5674.

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