• Title/Summary/Keyword: Durability Prediction

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A Study on the Evaluation of the Environmental Performance of Salt Damage in Concrete Bridges under Marine Environment (해양 환경하 콘크리트 교량의 염해환경 성능평가 연구)

  • Chai, Won-Kyu;Lee, Myeong-Gu;Son, Young-Hyun;Hong, Sung-Wook
    • Journal of the Korean Society of Safety
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    • v.33 no.5
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    • pp.60-69
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    • 2018
  • This study aims to investigate in the assessment of salt damage conditions in concrete structures under marine environment conditions. It aims also to improve the durability of new concrete bridge through applying the life prediction method of salt damaged bridges. As measuring chloride contents of these bridges on the southwest coastal area, it is shown that the average amount of chloride on these surfaces close to shore is $10.5kg/m^3$. This figure is much higher than that of the Standard Specification for Concrete($1.5kg/m^3{\sim}2.5kg/m^3$). In contrast, it is shown the average amount of chloride on these surfaces in tide zone is $13.1kg/m^3$. Its figure is much lower than that of the Standard Specification for Concrete($20kg/m^3$). And the life of bridges is estimated about 17 years. To improve the durability for salt damage, these bridges are applied to surface treatment method which the replacement rate of furnace slag is 60%. Under this condition, it is expected to be 110 years. Consequently, it is clear that the use of slag replacement rate, surface treatment agent, and anti-corrosion agent to control chloride penetration effects of a submerge-based concrete bridge will be required.

Image based Concrete Compressive Strength Prediction Model using Deep Convolution Neural Network (심층 컨볼루션 신경망을 활용한 영상 기반 콘크리트 압축강도 예측 모델)

  • Jang, Youjin;Ahn, Yong Han;Yoo, Jane;Kim, Ha Young
    • Korean Journal of Construction Engineering and Management
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    • v.19 no.4
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    • pp.43-51
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    • 2018
  • As the inventory of aged apartments is expected to increase explosively, the importance of maintenance to improve the durability of concrete facilities is increasing. Concrete compressive strength is a representative index of durability of concrete facilities, and is an important item in the precision safety diagnosis for facility maintenance. However, existing methods for measuring the concrete compressive strength and determining the maintenance of concrete facilities have limitations such as facility safety problem, high cost problem, and low reliability problem. In this study, we proposed a model that can predict the concrete compressive strength through images by using deep convolution neural network technique. Learning, validation and testing were conducted by applying the concrete compressive strength dataset constructed through the concrete specimen which is produced in the laboratory environment. As a result, it was found that the concrete compressive strength could be learned by using the images, and the validity of the proposed model was confirmed.

A Development of Prediction Model for Traffic Opening Time of Epoxy Asphalt Pavement Using Nonlinear Curve Fitting (비선형 커브피팅을 이용한 에폭시 아스팔트 포장의 교통개방 예측 모델 개발)

  • Jo, Shin Haeng;Kim, Nakseok
    • Journal of the Society of Disaster Information
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    • v.9 no.3
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    • pp.324-331
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    • 2013
  • Epoxy asphalt concrete is used to reduce dead load and to increase durability on long-span steel bridge overlay. The strength development properties of epoxy asphalt concrete are affected by time and temperature because epoxy asphalt is two-phase reactive materials. The strength development of epoxy asphalt concrete should be predicted precisely to decide traffic opening time. Based on this background in mind, the prediction model for traffic opening time for epoxy asphalt pavement was proposed in this research. The developed model using nonlinear curve fitting revealed R2 value of 0.943 while the R2 value of the existing model using chemical kinetics was 0.806. An improved precise prediction result is to be obtained when the prediction model uses accurate temperature data of pavement.

Prediction of Durability, Static and Dynamic Properties on Rubber (엔진마운트 고무부품의 내구 평가 및 동적 특성 예측)

  • Kim, Choon-Hyu;Kim, Kee-Joo;Jeong, Hyo-Tae;Kim, Cheol-Woong;Sohn, Il-Seon;Kim, Joong-Bae
    • Transactions of the Korean Society of Automotive Engineers
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    • v.14 no.6
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    • pp.17-23
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    • 2006
  • Rubber materials have the nonlinear, large deformation and viscoelastic behavior. W.D. Kim et al. studied these characteristics through the static, fatigue, dynamic, aging and viscoelastic test. This paper discussed that the properties of engine mounting rubber, such as static stiffness, fatigue life and damping factor, are predicted based on CAE by using material properties acquired by the report of Kim et al. In result, the static stiffness of engine mounting rubber is predicted approximately in comparison with test value. Also, it was confirmed that the relationship of fatigue life and Green-Lagrange strain in specimen was the valid tool to predict the fatigue life of engine mounting rubber. From the results of transient viscoelastic analysis the damping factor changed rapidly at the range less than 8hz.

Modeling of chloride diffusion in a hydrating concrete incorporating silica fume

  • Wang, Xiao-Yong;Park, Ki-Bong;Lee, Han-Seung
    • Computers and Concrete
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    • v.10 no.5
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    • pp.523-539
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    • 2012
  • Silica fume has long been used as a mineral admixture to improve the durability and produce high strength and high performance concrete. And in marine and coastal environments, penetration of chloride ions is one of the main mechanisms causing concrete reinforcement corrosion. In this paper, we proposed a numerical procedure to predict the chloride diffusion in a hydrating silica fume blended concrete. This numerical procedure includes two parts: a hydration model and a chloride diffusion model. The hydration model starts with mix proportions of silica fume blended concrete and considers Portland cement hydration and silica fume reaction respectively. By using the hydration model, the evolution of properties of silica fume blended concrete is predicted as a function of curing age and these properties are adopted as input parameters for the chloride penetration model. Furthermore, based on the modeling of physicochemical processes of diffusion of chloride ion into concrete, the chloride distribution in silica fume blended concrete is evaluated. The prediction results agree well with experiment results of chloride ion concentrations in the hydrating concrete incorporating silica fume.

Field Research for the Durability Assessment Factor for deriving the Carbonation of Concrete Bridges in the Marine Environment (해양 환경하 콘크리트 교량의 탄산화 내구성능 평가 인자 도출을 위한 현장조사 연구)

  • Chai, Won-Kyu;Lee, Myeong-Gu;Son, Young-Hyun
    • Journal of the Korean Society of Safety
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    • v.30 no.6
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    • pp.102-109
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    • 2015
  • In this study, on the basis of the results of the field survey and the theoretical consideration for Korean Standard Specification for concrete durability and maintenance, the following conclusions are derived. From the survey, the prediction equation of carbonation depth for the southwest region in Korea is experimentally proposed, $y_p=5.865{\sqrt{t}}$, which predicts about 60mm of the carbonation depth for the concrete structures of 100 years, a 1st class of target endurance period, under a combined deterioration environment like a marine environment. Considering that the marginal value for a carbonation depth limitation under very severely marine environment is 25mm, in accordance with the Specification, it is found that the predicting carbonation depth for the concrete cover depths, 100mm and 60mm are 63mm and 29.4mm, respectively. In conclusion, according to the equation and the Specification, it is strongly required that the reinforced concrete structures with the cover depth under 100mm have to make a protection from combined deterioration factors by any methods like a surface coating, an increment of cover depth or an application of a special concrete.

Design and Dynamic Behavior Prediction of a 4-DOF Piping Joint (4-자유도 배관 관절의 설계 및 동적 거동 예측)

  • Lee, Yunyong;Kang, Hwankook;Lee, Jong Rim;Lim, Seungchul
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.26 no.3
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    • pp.298-307
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    • 2016
  • In the building process of FPSOs(floating production, storage and offloading units) is the increasing demand of high performance piping joints that can be installed on its turret system and maintain smooth and long-term flow of ultra-high pressure crude oil, being subjected to external excitations such as wind and wave on the sea. Following such a trend, in this paper, a new-type piping joint of four effective degrees of freedom has been designed, and its dynamic characteristics predicted through mathematical modeling and computer simulations. Moreover, via an example it was shown how the yaw motion in particular can be independently controlled for future durability test despite strong kinetic couplings.

Corrosion Inhibition Properties of Steel bars in Reinforced Concrete Using Superplasticizer with Air Entrained Agent (고성능AE감수제를 사용한 콘크리트의 철근부식 저항성)

  • Lee, Mun-Hwan;Jung, Mi-Kyung;Oh, Se-Chul;Bae, Kyu-Woong;Seo, Chee-Ho
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.4 no.4
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    • pp.149-160
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    • 2000
  • As systematic methodologies are required for the evaluation on the durability of reinforced concrete structure, it is necessary to study and examine every factor which deteriorates the durability of structures. This paper aims to define factors affecting rebar corrosion and to establish a basis for a prediction of serviceability, regarding a state of harmful corrosion as a state when crack begins on the surface of concrete. The study results are followings; The corrosive current has changed by types of mixture, and this property enables the evaluations of corrosion resistance by mixture and concrete cover. The specimen using AE superplasticizer has better corrosion-resistance properties than non-AE specimen, as well those having low W/C and high unit cement weight. The procedure for calculation of durable year in this study is able to use as an indicator to establish mixture factors such as unit cement weight, W/C, amount of admixture, etc.

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Computer-aided approach of parameters influencing concrete service life and field validation

  • Papadakis, V.G.;Efstathiou, M.P.;Apostolopoulos, C.A.
    • Computers and Concrete
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    • v.4 no.1
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    • pp.1-18
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    • 2007
  • Over the past decades, an enormous amount of effort has been expended in laboratory and field studies on concrete durability estimation. The results of this research are still either widely scattered in the journal literature or mentioned briefly in the standard textbooks. Moreover, the theoretical approaches of deterioration mechanisms with a predictive character are limited to some complicated mathematical models not widespread in practice. A significant step forward could be the development of appropriate software for computer-based estimation of concrete service life, including reliable mathematical models and adequate experimental data. In the present work, the basis for the development of a computer estimation of the concrete service life is presented. After the definition of concrete mix design and structure characteristics, as well as the consideration regarding the environmental conditions where the structure will be found, the concrete service life can be reliably predicted using fundamental mathematical models that simulate the deterioration mechanisms. The prediction is focused on the basic deterioration phenomena of reinforced concrete, such as carbonation and chloride penetration, that initiate the reinforcing bars corrosion. Aspects on concrete strength and the production cost are also considered. Field observations and data collection from existing structures are compared with predictions of service life using the above model. A first attempt to develop a database of service lives of different types of reinforced concrete structure exposed to varying environments is finally included.

Carbonation depth estimation in reinforced concrete structures using revised empirical model and oxygen permeability index

  • Chandra Harshitha;Bhaskar Sangoju;Ramesh Gopal
    • Computers and Concrete
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    • v.31 no.3
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    • pp.241-252
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    • 2023
  • Corrosion of rebar is one of the major deteriorating mechanisms that affect the durability of reinforced concrete (RC) structures. The increase in CO2 concentration in the atmosphere leads to early carbonation and deterioration due to corrosion in RC structures. In the present study, an attempt has been made to modify the existing carbonation depth prediction empirical model. The modified empirical model is verified from the carbonation data collected from selected RC structures of CSIR-SERC campus, Chennai and carbonation data available from the reported literature on in-situ RC structures. Attempt also made to study the carbonation depth in the laboratory specimens using oxygen permeability index (OPI) test. The carbonation depth measured from RC structures and laboratory specimens are compared with estimated carbonation depth obtained from OPI test data. The modified empirical model shows good correlation with measured carbonation depth from the identified RC structures and the reported RC structures from the literature. The carbonation depth estimated from OPI values for both in-situ and laboratory specimens show lesser percentage of error compared to measured carbonation depth. From the present investigation it can be said that the OPI test is the suitable test method for both new and existing RC structures and laboratory RC specimens.