Simulation of concrete failure and fiber reinforced polymer fracture in confined columns with different cross sectional shape

Ceccato, Chiara; Salviato, Marco; Pellegrino, Carlo; Cusatis, Gianluca

doi:10.1016/j.ijsolstr.2016.12.017

“…The simulation of confined compression consisted of the same concrete cylinders simulated for unconfined compression wrapped with FRP sheets, which were simulated according to Ref. [52]. Figure 13(d) confirms, once again, that the number of POMs required for an accurate simulation of the inelastic behavior is considerably high, almost coincident with the degrees-of-freedom of the system.…”

Section: Compressionmentioning

confidence: 54%

“…Lattice discrete particle model is implemented in a computational software named MARS [47] and was used successfully to simulate concrete behavior in different types of laboratory experiments [45]. Furthermore, LDPM has shown superior capabilities in modeling concrete behavior under dynamic loading [28,48], alkali silica reaction deterioration [49][50][51], fracture simulation of fiber reinforced polymers (FRP) reinforced concrete [52], failure of fiber-reinforced concrete [53][54][55], and early age behavior of ultra high performance concrete [30,56,57]. LDPM was also recently formulated to simulate sandstone [58], shale [31,59], and waterless concrete [29].…”

Section: Brief Review Of Lattice Discrete Particle Modelmentioning

confidence: 99%

“…Full details of the LDPM constitutive equations used in this paper are reported in Refs. [27,45,52]. In the elastic regime, the normal and shear stresses are proportional to the corresponding strains: t N ¼ E N e N ; t M ¼ E T e M ; and t L ¼ E T e L , where E N ¼ E 0 and E T ¼ aE 0 with E 0 being the effective normal modulus and a the shear-normal coupling parameter.…”

Section: Funding Datamentioning

confidence: 99%

See 1 more Smart Citation

Proper Orthogonal Decomposition Framework for the Explicit Solution of Discrete Systems With Softening Response

Ceccato

¹

,

Zhou

²

,

Pelessone

³

et al. 2018

Journal of Applied Mechanics

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The application of explicit dynamics to simulate quasi-static events often becomes impractical in terms of computational cost. Different solutions have been investigated in the literature to decrease the simulation time and a family of interesting, increasingly adopted approaches are the ones based on the proper orthogonal decomposition (POD) as a model reduction technique. In this study, the algorithmic framework for the integration of the equation of motions through POD is proposed for discrete linear and nonlinear systems: a low dimensional approximation of the full order system is generated by the so-called proper orthogonal modes (POMs), computed with snapshots from the full order simulation. Aiming to a predictive tool, the POMs are updated in itinere alternating the integration in the complete system, for the snapshots collection, with the integration in the reduced system. The paper discusses details of the transition between the two systems and issues related to the application of essential and natural boundary conditions (BCs). Results show that, for one-dimensional (1D) cases, just few modes are capable of excellent approximation of the solution, even in the case of stress–strain softening behavior, allowing to conveniently increase the critical time-step of the simulation without significant loss in accuracy. For more general three-dimensional (3D) situations, the paper discusses the application of the developed algorithm to a discrete model called lattice discrete particle model (LDPM) formulated to simulate quasi-brittle materials characterized by a softening response. Efficiency and accuracy of the reduced order LDPM response are discussed with reference to both tensile and compressive loading conditions.

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“…Furthermore it can be properly formulated to account for fiber reinforcement [88,89] and it was recently extended to simulate the ballistic behavior of ultra-high performance concrete (UHPC) [90]. In addition, LDPM was successfully used in structural element scale analysis using multiscale methods [85,91,92] and was also used to simulate compression failure of confined concrete columns with FRP wrapping [87].…”

Section: Mechanical Behaviormentioning

confidence: 99%

Modeling Time-Dependent Behavior of Concrete Affected by Alkali Silica Reaction in Variable Environmental Conditions

Alnaggar¹,

Luzio²,

Cusatis

³

2017

Preprint

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Alkali Silica Reaction (ASR) is known to be a serious problem for concrete worldwide, especially in high humidity and high temperature regions. ASR is a slow process that develops over years to decades and it is influenced by changes in environmental and loading conditions of the structure. The problem becomes even more complicated if one recognizes that other phenomena like creep and shrinkage are coupled with ASR. This results in synergistic mechanisms that can not be easily understood without a comprehensive computational model. In this paper, coupling between creep, shrinkage and ASR is modeled within the Lattice Discrete Particle Model (LDPM) framework. In order to achieve this, a multi-physics formulation is used to compute the evolution of temperature, humidity, cement hydration, and ASR in both space and time, which is then used within physics-based formulations of cracking, creep and shrinkage. The overall model is calibrated and validated on the basis of experimental data available in the literature. Results show that even during free expansions (zero macroscopic stress), a significant degree of coupling exists because ASR induced expansions are relaxed by meso-scale creep driven by self-equilibriated stresses at the meso-scale. This explains and highlights the importance of considering ASR and other time dependent aging and deterioration phenomena at an appropriate length scale in coupled modeling approaches.

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“…Where

,

is a material parameter,

is the mesoscale compressive yield stress,

is the compaction strain at the beginning of pore collapse,

is the hardening modulus,

is the compaction strain at which rehardening begins,

is the material parameter governing the rehardening and

. In Ceccato et al [ 90 ], the hardening modulus is given by

, with

for

and

for

,

and

,

are assumed to be material parameters.…”

Section: Multi-physics Formulationmentioning

confidence: 99%

Modeling Time-Dependent Behavior of Concrete Affected by Alkali Silica Reaction in Variable Environmental Conditions

Alnaggar

¹

,

Luzio

²

,

Cusatis

³

2017

Self Cite

View full text Add to dashboard Cite

Alkali Silica Reaction (ASR) is known to be a serious problem for concrete worldwide, especially in high humidity and high temperature regions. ASR is a slow process that develops over years to decades and it is influenced by changes in environmental and loading conditions of the structure. The problem becomes even more complicated if one recognizes that other phenomena like creep and shrinkage are coupled with ASR. This results in synergistic mechanisms that can not be easily understood without a comprehensive computational model. In this paper, coupling between creep, shrinkage and ASR is modeled within the Lattice Discrete Particle Model (LDPM) framework. In order to achieve this, a multi-physics formulation is used to compute the evolution of temperature, humidity, cement hydration, and ASR in both space and time, which is then used within physics-based formulations of cracking, creep and shrinkage. The overall model is calibrated and validated on the basis of experimental data available in the literature. Results show that even during free expansions (zero macroscopic stress), a significant degree of coupling exists because ASR induced expansions are relaxed by meso-scale creep driven by self-equilibriated stresses at the meso-scale. This explains and highlights the importance of considering ASR and other time dependent aging and deterioration phenomena at an appropriate length scale in coupled modeling approaches.

show abstract

Simulation of concrete failure and fiber reinforced polymer fracture in confined columns with different cross sectional shape

Cited by 60 publications

References 56 publications

Proper Orthogonal Decomposition Framework for the Explicit Solution of Discrete Systems With Softening Response

Proper Orthogonal Decomposition Framework for the Explicit Solution of Discrete Systems With Softening Response

Modeling Time-Dependent Behavior of Concrete Affected by Alkali Silica Reaction in Variable Environmental Conditions

Modeling Time-Dependent Behavior of Concrete Affected by Alkali Silica Reaction in Variable Environmental Conditions

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