• 제목/요약/키워드: simulation of concrete structure

검색결과 273건 처리시간 0.027초

Fuzzy methodology application for modeling uncertainties in chloride ingress models of RC building structure

  • Do, Jeongyun;Song, Hun;So, Seungyoung;Soh, Yangseob
    • Computers and Concrete
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    • 제2권4호
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    • pp.325-343
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    • 2005
  • Chloride ingress is a common cause of deterioration of reinforced concrete located in coastal zone. Modeling the chloride ingress is an important basis for designing reinforced concrete structures and for assessing the reliability of an existing structure. The modeling is also needed for predicting the deterioration of a reinforced structure. The existing deterministic solution for prediction model of corrosion initiation cannot reflect uncertainties which input variables have. This paper presents an approach to the fuzzy arithmetic based modeling of the chloride-induced corrosion of reinforcement in concrete structures that takes into account the uncertainties in the physical models of chloride penetration into concrete and corrosion of steel reinforcement, as well as the uncertainties in the governing parameters, including concrete diffusivity, concrete cover depth, surface chloride concentration and critical chloride level for corrosion initiation. There are a lot of prediction model for predicting the time of reinforcement corrosion of structures exposed to chloride-induced corrosion environment. In this work, RILEM model formula and Crank's solution of Fick's second law of diffusion is used. The parameters of the models are regarded as fuzzy numbers with proper membership function adapted to statistical data of the governing parameters instead of random variables of probabilistic modeling of Monte Carlo Simulation and the fuzziness of the time to corrosion initiation is determined by the fuzzy arithmetic of interval arithmetic and extension principle. An analysis is implemented by comparing deterministic calculation with fuzzy arithmetic for above two prediction models.

복합구조 적용에 따른 콘크리트 열 응답 (Thermal Response of Concrete in Steel-Concrete Composite Structure)

  • 손영현
    • 한국구조물진단유지관리공학회 논문집
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    • 제7권2호
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    • pp.185-191
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    • 2003
  • 본 연구에서는 해석적 검토를 수행하여 합성구조물의 열적응답을 예측하고 발생가능한 문제점을 고찰함으로써 합성형구조 실 시공시 효율적인 자료를 제공토록 하였다. 복합구조의 적용에 의한 콘크리트 단면의 감소는 동일한 구성재료와 타설온도를 적용할 경우 최대온도의 발현량을 감소시키는 효과는 거의 없지만, 중앙부와 표면부의 온도차는 크게 감소시킬 수 있는 것으로 판단된다. 한편, 복합구조의 적용은 콘크리트 구조물의 단면감소를 유발하고, 감소율이 상대적으로 큰 단면에서 기설 콘크리트 구조물에 의한 구속작용으로 인장강도를 초과하는 인장응력이 발생된다. 이러한 응력은 Steel Box와 콘크리트 접촉면의 모서리부에 집중되는 것으로 판단된다. 이와같은 구속작용과 응력집중 현상은 복합구조 적용에 따른 온도차 감소효과를 상쇄시키는 것으로 판단된다. 따라서, 복합구조 적용시 이러한 문제점과 관련된 인자들과 단면 등을 고려한 해석적 검토를 통하여 온도응답 및 적절한 대책이 요구된다.

Material structure generation of concrete and its further usage in numerical simulations

  • Husek, Martin;Kala, Jiri
    • Structural Engineering and Mechanics
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    • 제68권3호
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    • pp.335-344
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    • 2018
  • The execution of an experiment is a complex affair. It includes the preparation of test specimens, the measurement process itself and also the evaluation of the experiment as such. Financial requirements can differ significantly. In contrast, the cost of numerical simulations can be negligible, but what is the credibility of a simulated experiment? Discussions frequently arise concerning the methodology used in simulations, and particularly over the geometric model used. Simplification, rounding or the complete omission of details are frequent reasons for differences that occur between simulation results and the results of executed experiments. However, the creation of a very complex geometry, perhaps all the way down to the resolution of the very structure of the material, can be complicated. The subject of the article is therefore a means of creating the material structure of concrete contained in a test specimen. Because a complex approach is taken right from the very start of the numerical simulation, maximum agreement with experimental results can be achieved. With regard to the automation of the process described, countless material structures can be generated and randomly produced samples simulated in this way. Subsequently, a certain degree of randomness can be observed in the results obtained, e.g., the shape of the failure - just as is the case with experiments. The first part of the article presents a description of a complex approach to the creation of a geometry representing real concrete test specimens. The second part presents a practical application in which the numerical simulation of the compressive testing of concrete is executed using the generated geometry.

실험계획법을 이용한 구조물의 최적설계 (Optimal Design for a Structure Using Design of Experiment)

  • 고성호;한석영;최형연
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2001년도 춘계학술대회 논문집(한국공작기계학회)
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    • pp.34-39
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    • 2001
  • The median barrier is one of the roadside hardware to prevent severe human and property damage from highway traffic accidents. The foreign standard of concrete median barrier was introduced and implemented without modification fitting to domestic vehicle and highway condition. In a car accident, median barrier doesn't protect vehicle effectively, especially for heavy vehicle such as bus and heavy truck. The purpose of this study is to develop the optimal performance design of concrete median barrier using the design of experiment with crash simulation analysis which is done by Pam-Crash that is one of the commercial crash simulation software. As a result of this study, an optimal design of concrete median barrier is obtained considering von Mises stress, volume and COG acceleration of truck.

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Prediction of Durability for RC Columns with Crack and Joint under Carbonation Based on Probabilistic Approach

  • Kwon, Seung-Jun;Na, Ung-Jin
    • International Journal of Concrete Structures and Materials
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    • 제5권1호
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    • pp.11-18
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    • 2011
  • Carbonation in RC (reinforced concrete) structure is considered as one of the most critical deteriorations in urban cities. Although RC column has one mix condition, carbonation depth is measured spatially differently due to its various environmental and internal conditions such as sound, cracked, and joint concrete. In this paper, field investigation was performed for 27 RC columns subjected to carbonation for eighteen years. Through this investigation, carbonation distribution in sound, cracked, and joint concrete were derived with crack mappings. Considering each related area and calculated PDF (probability of durability failure) of sound, cracked, and joint concrete through Monte Carlo Simulation (MCS), repairing timings for RC columns are derived based on several IPDF (intended probability of durability failure) of 1, 3, and 5%. The technique of equivalent probability including carbonation behaviors which are obtained from different conditions can provide the reasonable repairing strategy and the priority order for repairing in a given traffic service area.

Damage prediction in the vicinity of an impact on a concrete structure: a combined FEM/DEM approach

  • Rousseau, Jessica;Frangin, Emmanuel;Marin, Philippe;Daudeville, Laurent
    • Computers and Concrete
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    • 제5권4호
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    • pp.343-358
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    • 2008
  • This article focuses on concrete structures submitted to impact loading and is aimed at predicting local damage in the vicinity of an impact zone as well as the global response of the structure. The Discrete Element Method (DEM) seems particularly well suited in this context for modeling fractures. An identification process of DEM material parameters from macroscopic data (Young's modulus, compressive and tensile strength, fracture energy, etc.) will first be presented for the purpose of enhancing reproducibility and reliability of the simulation results with DE samples of various sizes. The modeling of a large structure by means of DEM may lead to prohibitive computation times. A refined discretization becomes required in the vicinity of the impact, while the structure may be modeled using a coarse FE mesh further from the impact area, where the material behaves elastically. A coupled discrete-finite element approach is thus proposed: the impact zone is modeled by means of DE and elastic FE are used on the rest of the structure. The proposed approach is then applied to a rock impact on a concrete slab in order to validate the coupled method and compare computation times.

AEM을 이용한 철근콘크리트 라이닝의 관입 방호성능 평가 (The evaluation of penetration protective performance using applied element method for reinforced concrete lining)

  • 주건욱
    • 한국터널지하공간학회 논문집
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    • 제21권3호
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    • pp.377-396
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    • 2019
  • 지하구조물의 내부에 탄두가 관입 후 폭발할 경우 일반적으로 목표물에 상당한 변위, 파손 및 광범위한 피해를 유발한다. 따라서 이러한 피해효과를 줄이기 위해서는 관입에 저항할 수 있는 지하구조물 방호 설계가 요구된다. 본 연구에서는 응용요소법을 이용한 철근콘크리트 지하구조물의 관입 방호성능 향상을 위한 주요 인자들을 크게 강도(콘크리트 압축강도) 및 밀도(콘크리트 두께, 철근의 피복 층수, 철근의 직경, 철근의 배근간격)로 나누었다. 이를 바탕으로 다양한 조건에서 관통자에 의한 동적응답 시뮬레이션 전산해석 연구를 수행하고 그 결과를 분석하였다. 본 연구 결과는 철근콘크리트 지하구조물의 관입 방호성능 향상을 위한 기초자료로 활용될 수 있을 것으로 기대된다.

Research on construction simulation technology of civil building structure engineering based on artificial intelligence

  • Zhongkuo Zhang;Jie Ren
    • Advances in nano research
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    • 제16권1호
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    • pp.71-79
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    • 2024
  • Nanotechnology is the latest technology developed by humanity, trying to use the molecular properties of materials found in nature to create devices that solve the problems plaguing humanity and their efficiency. Man is also trying to change the meaning of molecules to nano so that a body made up of these particles has all the properties of these particles. Nanotechnology is not a new field but a new approach in all areas. A new perspective in concrete technology has been created by the use of nanoparticles in recent years. Adding silica nanoparticles to concrete mixes improves its properties and increases its strength. However, different results and reported mechanisms explain the behavior of nanoparticles in the mixture; Therefore, it took much work to generalize the results and predict the behavior of nano concretes. This article is about the construction simulation technology of civil engineering based on artificial intelligence, which deals with the effect of nanoparticles on improving concrete properties. This was demonstrated by analyzing laboratory samples in various mixture configurations and observing how silica nanoparticles affected their microstructure with scanning electron microscopy (SEM). Based on SEM measurements, silica nanoparticles have a powerful effect because of their specific surface area. Their increase and decrease must be sought in interacting with the filling and nucleation mechanism and the pozzolanic activity. Each of these mechanisms dominates at different ages of hydration and affects the microstructure and mechanical properties of concrete.

Operational performance evaluation of bridges using autoencoder neural network and clustering

  • Huachen Jiang;Liyu Xie;Da Fang;Chunfeng Wan;Shuai Gao;Kang Yang;Youliang Ding;Songtao Xue
    • Smart Structures and Systems
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    • 제33권3호
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    • pp.189-199
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    • 2024
  • To properly extract the strain components under varying operational conditions is very important in bridge health monitoring. The abnormal sensor readings can be correctly identified and the expected operational performance of the bridge can be better understood if each strain components can be accurately quantified. In this study, strain components under varying load conditions, i.e., temperature variation and live-load variation are evaluated based on field strain measurements collected from a real concrete box-girder bridge. Temperature-induced strain is mainly regarded as the trend variation along with the ambient temperature, thus a smoothing technique based on the wavelet packet decomposition method is proposed to estimate the temperature-induced strain. However, how to effectively extract the vehicle-induced strain is always troublesome because conventional threshold setting-based methods cease to function: if the threshold is set too large, the minor response will be ignored, and if too small, noise will be introduced. Therefore, an autoencoder framework is proposed to evaluate the vehicle-induced strain. After the elimination of temperature and vehicle-induced strain, the left of which, defined as the model error, is used to assess the operational performance of the bridge. As empirical techniques fail to detect the degraded state of the structure, a clustering technique based on Gaussian Mixture Model is employed to identify the damage occurrence and the validity is verified in a simulation study.

Meso-Scale Approach for Prediction of Mechanical Property and Degradation of Concrete

  • Ueda, Tamon
    • Corrosion Science and Technology
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    • 제3권3호
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    • pp.87-97
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    • 2004
  • This paper presents a new approach with meso scale structure models to express mechanical property, such as stress - strain relationships, of concrete. This approach is successful to represent both uniaxial tension and uniaxial compression stress - strain relationship, which is in macro scale. The meso scale approach is also applied to predict degraded mechanical properties of frost-damaged concrete. The degradation of mechanical properties with frost-damaged concrete was carefully observed. Strength and stiffness in both tension and compression decrease with freezing and thawing cycles (FTC), while stress-free crack opening in tension softening increases. First attempt shows that the numerical simulation can express the experimentally observed degradation by introducing changes in the meso scale structure in concrete, which are assumed based on observed damages in the concrete subjected to FTC. At the end applicability of the meso scale approach to prediction of the degradation by combined effects of salt attack and FTC is discussed. It is shown that clarification of effects of frost damage in concrete on corrosion progress and on crack development in the damaged cover concrete due to corrosion is one of the issues for which the meso scale approach is useful.