• Geomechanics and Engineering
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• 제28권6호
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• pp.599-611
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• 2022

Tendon reinforced cemented soil is applied extensively in foundation stabilisation and improvement, especially in areas with soft clay. To solve the deterioration problem led by steel corrosion, the glass fiber-reinforced polymer (GFRP) tendon is introduced to substitute the traditional steel tendon. The interface bond strength between the cemented soil matrix and GFRP tendon demonstrates the outstanding mechanical property of this composite. However, the lack of research between the influence factors and bond strength hinders the application. To evaluate these factors, back propagation neural network (BPNN) is applied to predict the relationship between them and bond strength. Since adjusting BPNN parameters is time-consuming and laborious, the particle swarm optimisation (PSO) algorithm is proposed. This study evaluated the influence of water content, cement content, curing time, and slip distance on the bond performance of GFRP tendon-reinforced cemented soils (GTRCS). The results showed that the ultimate and residual bond strengths were both in positive proportion to cement content and negative to water content. The sample cured for 28 days with 30% water content and 50% cement content had the largest ultimate strength (3879.40 kPa). The PSO-BPNN model was tuned with 3 neurons in the input layer, 10 in the hidden layer, and 1 in the output layer. It showed outstanding performance on a large database comprising 405 testing results. Its higher correlation coefficient (0.908) and lower root-mean-square error (239.11 kPa) were obtained compared to multiple linear regression (MLR) and logistic regression (LR). In addition, a sensitivity analysis was applied to acquire the ranking of the input variables. The results illustrated that the cement content performed the strongest influence on bond strength, followed by the water content and slip displacement.

• Composites Research
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• 제30권1호
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• pp.59-64
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• 2017

향상된 특성을 갖는 환경친화적인 복합재료의 개발은 고분자재료의 미래에 있어 필수적이며, 부분적으로 또는 완전히 재생가능한 기지재 또는 보강재에 단지 몇 %의 첨가제를 첨가함으로써 쉽게 제작할 수 있다. 본 연구에서는 마닐라삼 섬유를 보강재로, 비닐에스터를 기지재로 사용하였으며, VARTM 공정을 이용하여 복합재료를 제조하였다. 또한 마닐라삼 섬유의 알칼리표면처리를 수행하고, APP, HNT를 난연제를 첨가함으로써 기계적 물성과 난연 물성을 향상시키고자 하였다. 실험을 통하여 표면처리가 천연섬유의 친수성을 감소시키고 소수성인 기지재와의 계면접착력을 향상시켰으며, 이는 개발된 복합재료의 기계적 물성 향상을 이끌었다. 유사하게, 복합재료의 난연성도 난연제의 함량이 증가함에 따라 크게 향상되는 결과를 얻을 수 있었다.