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RISS 인기검색어
- 검색키워드
- 저자 : Hassan Saeedi (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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Prediction of Pile Settlement based on Cone Penetration Test Results: An ANN Approach
Mohammad Hassan Baziar,Alireza Saeedi Azizkandi,Armin Kashkooli 대한토목학회 2015 KSCE JOURNAL OF CIVIL ENGINEERING Vol.19 No.1
Several theoretical and experimental methods are available to estimate pile settlement. Due to difficulties for obtaining undisturbedsamples, many of these methods have been focused on in-situ tests. The cone penetration test is one of the most effective in-situ testsbecause of its geometrical analogy with the piles as well as presenting continuous results along the depth. In this study, 1300 recordedsettlement data from 101 pile loading tests with the CPT results were collected. Then Artificial Neural Network analyses (ANN)were conducted to obtain the best model for the prediction of pile settlement. The relative importance of input parameters has beenevaluated using senility analysis. Accuracy predictions of the proposed model, along with other classic methods, were compared withthe recorded values from the loading tests with the aid of different statistical parameters. This comparison indicated the superiority ofthe proposed model over previous methods. A parametric study has also been performed for the input parameters to study theconsistency of the suggested model.
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Maryam Hekmatfard,Mohammad Ali Sanjari,Nader Maroufi,Hassan Saeedi,Esmail Ebrahimi,Hamid Behtash 대한척추외과학회 2017 Asian Spine Journal Vol.11 No.5
Study Design: Clinical pilot study. Purpose: To objectively evaluate the compliance rate of lumbar-support use in patients with chronic nonspecific low back pain, as well as to assess low back pain intensity, disability, and fear-avoidance beliefs. Overview of Literature: Wearing time is an important factor in the assessment of the efficacy of lumbar-support use in patients with chronic nonspecific low back pain. Previous studies have measured lumbar-support wearing time based on subjective assessment, and these evaluations are not easily verifiable and are usually overestimated by subjects. Methods: Twelve subjects with chronic nonspecific low back pain who had been wearing semirigid lumbar supports for 6 weeks were evaluated. Compliance was objectively monitored using temperature sensors integrated into the semirigid lumbar supports. Subjects wore their lumbar supports for 8 hour/day on workdays and 3 hour/day on holidays during the first 3 weeks. During the next 3 weeks, subjects were gradually weaned off the lumbar supports. Pain intensity was measured using a numerical rating scale. The Oswestry disability index was used to assess the subjects’ disability. Fear-avoidance behavior was evaluated using a fear-avoidance beliefs questionnaire. Results: The mean compliance rate of the subjects was 78.16%±13.9%. Pain intensity was significantly lower in patients with a higher compliance rate (p =0.001). Disability index and fear-avoidance beliefs (functional outcomes) significantly improved during the second 3-weeks period of the treatment (p <0.001, p =0.02, respectively). Conclusions: The compliance rate of patients wearing lumbar supports is a determining factor in chronic low back pain management. Wearing semirigid lumbar supports, as advised, was associated with decreased pain intensity, improved disability index scores, and improved fear-avoidance beliefs in patients with chronic nonspecific low back pain.
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