• 제목/요약/키워드: shear strength prediction

검색결과 295건 처리시간 0.087초

김포한강지구 계측자료를 이용한 침하예측기법의 적용성에 관한 연구 (A Study on the Applicability of Settlement Prediction Method Based on the Field Measurement in Gimpo Hangang Site)

  • 이정상;정재원;최승철;천병식
    • 한국지반환경공학회 논문집
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    • 제13권12호
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    • pp.35-42
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    • 2012
  • 연약지반에 구조물을 설치하거나 도로 또는 단지를 조성하는 경우 지지력 부족으로 인한 지반 전단파괴 및 과도한 압밀침하 등 공학적 문제가 발생하게 되어, 강도증가 및 침하억제를 위한 지반 개량공사를 필수적으로 시행하여야 한다. 연약지반을 개량함에 있어 현장계측자료를 바탕으로 한 장기침하량 예측은 선행재하 성토고 및 압밀완료시점 예측을 위한 매우 중요한 요소로 이에 관한 연구가 국내 외 여러 학자들에 의해 진행되고 있다. 본 연구에서는 선행재하 및 연직배수 공법을 적용하여 점성토 연약지반개량을 시행한 연구 대상 지역의 압밀침하 특성을 분석하였으며, 쌍곡선법, ${\sqrt{S}}$법, Asaoka법을 적용하여 압밀도에 따른 예측 침하량과 실측 최종침하량을 비교 분석하여 김포한강지구의 토질특성에 맞는 침하예측기법을 연구하였다. 연구결과에 의하면 3가지 예측방법으로 추정한 침하량과 계측침하량의 오차가 최대 ${\pm}4$% 이내로 실 침하량과 거의 일치하였으며, 예측의 정확도는 Asaoka법, 쌍곡선법, ${\sqrt{s}}$법 순으로 나타났다.

인공 신경망을 이용한 실시간 용접품질 예측에 관한 연구 (A Study on the Prediction of Welding Flaw Using Neural Network)

  • 조재형;고상현
    • 디지털융복합연구
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    • 제17권5호
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    • pp.217-223
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    • 2019
  • 자동차 분야에서 저항 점용접의 결함 및 품질을 실시간으로 예측할 수 있는 연구는 원가절감과 고품질 생산을 위한 필수 불가결한 연구 분야라 할 수 있다. 용접 품질은 전단강도와 너깃의 크기에 의해서 결정되며 여러 가지 독립변수에 따라 결과가 달라진다. 실시간 예측시스템을 개발하기 위하여 다중 회귀분석을 실시하여 3개의 독립변수로 두 가지 종속변수를 충분한 통계적 결과로 구하였으나 회귀식에 의한 품질 예측은 정확도를 보장할 수 없었다. 본 연구에서는 다층 신경망 회로를 구축하였다. 10가지의 동저항 변수에 의한 신경망은 3개의 은닉층을 구축하여 실행 함수와 가중치 행렬을 구하였다. 그러나 이 경우, 입력 변수가 너무 많아 실시간 제어에 어려움이 있을 수 있으므로 회귀분석에 의한 3개의 독립변수로 신경망을 구축하였다. 그 결과 모든 시험데이터를 불량, 부분 불량, 양품으로 구분하는데 성공하였다. 따라서 다중 회귀분석에 의해서 구한 3개의 독립변수에 의한 실시간 용접 품질 판정 시스템을 완성할 수 있었다.

Prediction of rock slope failure using multiple ML algorithms

  • Bowen Liu;Zhenwei Wang;Sabih Hashim Muhodir;Abed Alanazi;Shtwai Alsubai;Abdullah Alqahtani
    • Geomechanics and Engineering
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    • 제36권5호
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    • pp.489-509
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    • 2024
  • Slope stability analysis and prediction are of critical importance to geotechnical engineers, given the severe consequences associated with slope failure. This research endeavors to forecast the factor of safety (FOS) for slopes through the implementation of six distinct ML techniques, including back propagation neural networks (BPNN), feed-forward neural networks (FFNN), Takagi-Sugeno fuzzy system (TSF), gene expression programming (GEP), and least-square support vector machine (Ls-SVM). 344 slope cases were analyzed, incorporating a variety of geometric and shear strength parameters measured through the PLAXIS software alongside several loss functions to assess the models' performance. The findings demonstrated that all models produced satisfactory results, with BPNN and GEP models proving to be the most precise, achieving an R2 of 0.86 each and MAE and MAPE rates of 0.00012 and 0.00002 and 0.005 and 0.004, respectively. A Pearson correlation and residuals statistical analysis were carried out to examine the importance of each factor in the prediction, revealing that all considered geomechanical features are significantly relevant to slope stability. However, the parameters of friction angle and slope height were found to be the most and least significant, respectively. In addition, to aid in the FOS computation for engineering challenges, a graphical user interface (GUI) for the ML-based techniques was created.

Modelling beam-to-column joints in seismic analysis of RC frames

  • Lima, Carmine;Martinelli, Enzo;Macorini, Lorenzo;Izzuddin, Bassam A.
    • Earthquakes and Structures
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    • 제12권1호
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    • pp.119-133
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    • 2017
  • Several theoretical and analytical formulations for the prediction of shear strength in reinforced concrete (RC) beam-to-column joints have been recently developed. Some of these predictive models are included in the most recent seismic codes and currently used in practical design. On the other hand, the influence of the stiffness and strength degradations in RC joints on the seismic performance of RC framed buildings has been only marginally studied, and it is generally neglected in practice-oriented seismic analysis. To investigate such influence, this paper proposes a numerical description for representing the cyclic response of RC exterior joints. This is then used in nonlinear numerical simulations of RC frames subjected to earthquake loading. According to the proposed strategy, RC joints are modelled using nonlinear rotational spring elements with strength and stiffness degradations and limited ductility under cyclic loading. The proposed joint model has been firstly calibrated against the results from experimental tests on 12 RC exterior joints. Subsequently, nonlinear static and dynamic analyses have been carried out on two-, three- and four-storey RC frames, which represent realistic existing structures designed according to old standards. The numerical results confirm that the global seismic response of the analysed RC frames is strongly affected by the hysteretic damage in the beam-to-column joints, which determines the failure mode of the frames. This highlights that neglecting the effects of joints damage may potentially lead to non-conservative seismic assessment of existing RC framed structures.

Comparative behaviour of stiffened and unstiffened welded tubular joints of offshore platforms

  • Thandavamoorthy, T.S.
    • Steel and Composite Structures
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    • 제3권5호
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    • pp.321-331
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    • 2003
  • The paper presents the results of an experimental investigation conducted on welded tubular joints, that are employed in offshore platforms, to study the behaviour and strength of these joints under axial brace compression loading. The geometrical configuration of the joints tested were T and Y. The nominal diameter of the chord and brace members of the joint were 324 and 219 mm respectively. The chord thickness was 12 mm and the brace 8 mm. The tested joints are approximately quarter size when compared to the largest joints in the platforms built in a shallow water depth of 80 m in the Bombay High field. Some of the joints were actually fabricated by a leading offshore agency which firm is directly involved in the fabrication of prototype structures. Strength of the internally ring-stiffened joints was found to be almost twice that of the unstiffened joints of the same configuration and dimensions. Bending of the chord as a whole was observed to be the predominant mode of deformation of the internally ring-stiffened joints in contrast to ovaling and punching shear of the unstiffened joints. It was observed in this investigation that unstiffened joint was stiffer in ovaling mode than in bending and that midspan deflection of unstiffened joint was insignificant when compared to that of the internally ring stiffened joint. The measured midspan deflection of the unstiffened joint in this investigation and its relation with the applied axial load compares very well with that predicted for the brace axial displacement by energy method published in the literature. A comparison of the measured deflection and ovaling of the unstiffened joint was made with that published by the author elsewhere in which numerical prediction of both quantities have been made using ANSYS software package. The agreement was found to be quite good.

Experimental investigation on UHPC beams reinforced with GFRP and steel rebars and comparison with prediction equations

  • Parvin, Yousef Abbasi;Shaghaghi, Taleb Moradi;Pourbaba, Masoud;Mirrezaei, Seyyed Saeed;Zandi, Yousef
    • Advances in concrete construction
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    • 제14권1호
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    • pp.45-55
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    • 2022
  • In this article, the flexural and shear capacity of ultra-high-performance fiber-reinforced concrete beams (UHPFRC) using two kinds of rebars, including GFRP and steel rebars, are experimentally investigated. For this purpose, six UHPFRC beams (250 × 300 × 1650 mm) with three reinforcement ratios (ρ) of 0.64, 1.05, and 1.45 were constructed using 2% steel fibers by volume. Half of the specimens were made of UHPFRC reinforced with GFRP rebars, while the other half were reinforced with conventional steel rebars. All specimens were tested to failure in four-point bending. Both the load-deformation at mid-span and the failure pattern were studied. The results showed that utilizing GFRP bars increases the flexural strength of UHPFRC beams in comparison to those made of steel bars, but at the same time, it reduces the post-cracking strain hardening. Furthermore, by increasing the percentage of longitudinal bars, both the post-cracking strain hardening and load-bearing capacity increase. Comparing the experiment results with some of the available equations and provisions cited in the valid design codes reveals that some of the equations to predict the flexural strength of UHPFRC beams reinforced with conventional steel and GFRP bars are reasonably conservative, while Khalil and Tayfur model is un-conservative. This issue makes it essential to modify the presented equations in this research for predicting the flexural strength of UHPFRC beams using GFRP bars.

Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures

  • Shariati, Mahdi;Mafipour, Mohammad Saeed;Mehrabi, Peyman;Zandi, Yousef;Dehghani, Davoud;Bahadori, Alireza;Shariati, Ali;Trung, Nguyen Thoi;Salih, Musab N.A.;Poi-Ngian, Shek
    • Steel and Composite Structures
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    • 제33권3호
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    • pp.319-332
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    • 2019
  • This study is aimed to predict the behaviour of channel shear connectors in composite floor systems at different temperatures. For this purpose, a soft computing approach is adopted. Two novel intelligence methods, including an Extreme Learning Machine (ELM) and a Genetic Programming (GP), are developed. In order to generate the required data for the intelligence methods, several push-out tests were conducted on various channel connectors at different temperatures. The dimension of the channel connectors, temperature, and slip are considered as the inputs of the models, and the strength of the connector is predicted as the output. Next, the performance of the ELM and GP is evaluated by developing an Artificial Neural Network (ANN). Finally, the performance of the ELM, GP, and ANN is compared with each other. Results show that ELM is capable of achieving superior performance indices in comparison with GP and ANN in the case of load prediction. Also, it is found that ELM is not only a very fast algorithm but also a more reliable model.

저소성 점토의 수정 Cam-clay 모델 적용성에 관한 연구 (A Study on the Applicability of Modified Cam-clay Model in Low Plastic Clays)

  • 이송;김태훈
    • 한국지반공학회논문집
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    • 제19권4호
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    • pp.247-256
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    • 2003
  • 국내 서해안 지역에서는 실트질 저소성 점토가 두루 분포하고 있다. 따라서, 저소성 점토를 함유한 연약지반에 지반개량공법에 관련된 여러 해석을 실시할 경우, 일반적으로 수정 Cam-clay모델을 적용하여 FEM 해석을 수행하고 있다. 하지만, 국내에서는 등방조건에서 개발된 Cam-clay이론의 특성에 대해서 충분한 검토를 하지 않고 비등방 조건을 갖는 현장을 해석하기 위해 두루 적용하고 있다. 따라서, 본 논문은 실트질 저소성 점토지반에서 수정 Cam-clay 이론을 적용할 경우, 발생되는 문제점들을 고려하기 위해 실내 등방 및 비등방 삼축압축시험을 실시하였으며, 그 결과를 FEM 수치해석을 구성하여 시험결과와 비교ㆍ검토하였다. 검토결과 수정 Cam-clay 이론을 적용한 해석치들은 비배수 전단강도를 평가함에 합리적인 결과를 나타냈지만, 하중적용시 발생하는 간극수압을 예측함에 모두 과대 평가를 나타냈다. 특히 비등방 조건에서는 등방조건보다 더욱 큰 차이를 보였다. 이러한 원인은 수정 Cam-clay 이론 자체가 등방조건의 이론인 관계로 등방조건보다 비등방조건에서 과잉간극수압 예측이 과대 평가되는 특징을 보인다고 판단할 수 있다. 또한, 등방조건에서 약간 과대 평가되는 이유는 실트질 저소성 점토가 전단시 시료 팽창에 의한 다일러턴시가 발생하여 간극수압 예측에 전반적인 과대 평가를 유발했음이라 판단된다.

3차원 개별요소해석 시의 초기 모델 및 재료 스케일 영향 (Scale Effects of Initial Model and Material on 3-Dimensional Distinct Element Simulation)

  • 전제성;신동훈;하익수
    • 한국지반환경공학회 논문집
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    • 제12권7호
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    • pp.57-65
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    • 2011
  • 본 연구에서는 3차원 개별요소해석 코드인 Particle Flow Code, $PFC^{3D}$(Itasca)를 이용, 조립재료의 실내 삼축압축시험에 대한 개별요소 수치 모델링을 수행하였으며, 해석 모델과 개별요소를 대상으로 다양한 상사 조건에 대한 개별요소 수치 모델링을 수행, 그 결과를 통해 각각의 스케일 조건이 최종 수치 모델링 결과에 미치는 영향을 분석하였다. 3차원 개별요소 수치 모델링은 기존 2차원 모델링 대비 별도의 간극률 환산 없이 정확한 초기 조건 구현이 가능했으며, 응력-변형 및 체적변화 거동, 강도정수등에 있어 실내시험 결과와 유사한 수치 해석적 예측이 가능하였다. 해석 모델과 개별요소에 대한 다양한 상사비 조건별 수치 모델링 결과, 3차원 해석 시의 안정적 예측결과 도출 및 수치 시험실 활용에 대한 적정성을 확보하되, 해석시간 단축 및 해석 효율성 확보를 위해서는 해석 모델과 개별요소에 대한 적정 상사비 결정이 필요함을 알 수 있었다. 해석 모델의 크기와 개별요소의 입경크기를 변화시켜 개별요소 수치모델링을 수행한 결과, 대부분의 경우 전체적인 응력-변형 거동에 차이가 발생하였지만, 점착력과 내부 마찰각의 강도정수는 $D_{mod}/D_{gmax}$ < 10 조건에 유사한 결과를 보였으며, 개별요소 방법이 수치 시험실 기법을 이용한 강도정수 산정에 효과적으로 적용될 수 있음을 확인할 수 있었다.

Marguerre shell type secant matrices for the postbuckling analysis of thin, shallow composite shells

  • Arul Jayachandran, S.;Kalyanaraman, V.;Narayanan, R.
    • Structural Engineering and Mechanics
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    • 제18권1호
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    • pp.41-58
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    • 2004
  • The postbuckling behaviour of thin shells has fascinated researchers because the theoretical prediction and their experimental verification are often different. In reality, shell panels possess small imperfections and these can cause large reduction in static buckling strength. This is more relevant in thin laminated composite shells. To study the postbuckling behaviour of thin, imperfect laminated composite shells using finite elements, explicit incremental or secant matrices have been presented in this paper. These incremental matrices which are derived using Marguerre's shallow shell theory can be used in combination with any thin plate/shell finite element (Classical Laminated Plate Theory - CLPT) and can be easily extended to the First Order Shear deformation Theory (FOST). The advantage of the present formulation is that it involves no numerical approximation in forming total potential energy of the shell during large deformations as opposed to earlier approximate formulations published in the literature. The initial imperfection in shells could be modeled by simply adjusting the ordinate of the shell forms. The present formulation is very easy to implement in any existing finite element codes. The secant matrices presented in this paper are shown to be very accurate in tracing the postbuckling behaviour of thin isotropic and laminated composite shells with general initial imperfections.