scholarly journals A comparison between measured female linear arm strengths and estimates from the 3D Static Strength Prediction Program (3DSSPP)

2021 ◽  
Vol 94 ◽  
pp. 103415
Author(s):  
Andrew D. Hall ◽  
Nicholas J. La Delfa ◽  
Chris Loma ◽  
Jim R. Potvin
Work ◽  
1993 ◽  
Vol 3 (2) ◽  
pp. 79-80
Author(s):  
Deborah Lechner

2015 ◽  
Vol 17 (2) ◽  
pp. 426-438 ◽  

<div> <p>This study features an analysis of the influences and effects of different postures performed within tasks of waste collection. Four men, ages 30, 46, 60 and 65, and two women, ages 38 and 48, took part in this study.&nbsp; The assessment makes use of a 3D Static Strength Prediction Program (3DSSPP&trade;) to analyze the lifting and dumping postures observed in the experiment and evaluate strength requirements and the lower back impact of the different tasks. Additional analysis tools Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA) were used to assess the risks associated with the tasks, and assessing the usability of this tool-setup to evaluate this kind of tasks with respect to the results expected. 3DSSPP results showed that only 86% of the population would be able to lift 9kg in this posture and 96% of the population would be capable of performing dumping. The results obtained using RULA and REBA indicated that the lifting and dumping postures are in need of change as soon as possible. Overall, this paper evaluates the postural risks of waste collection tasks mainly considering lifting and dumping tasks and assesses the physiological impacts on waste collection task performance. &nbsp;</p> </div> <p>&nbsp;</p>


2006 ◽  
Author(s):  
Jim Chiang ◽  
Allison Stephens ◽  
Jim Potvin

2007 ◽  
Vol 129 (3) ◽  
pp. 177-189 ◽  
Author(s):  
David Pecknold ◽  
Peter Marshall ◽  
Justin Bucknell

The development of the new API RP2A (22nd edition) parametric static strength prediction equations for planar circular hollow section tubular joints is described. Prediction equations are presented for brace axial, brace in-plane bending, and brace out-of-plane bending loads. The prediction equations are based on screened test databases, augmented, and extended by an extensive new series of validated nonlinear finite element simulations for nonoverlapping K joints, double tee (DT/X) joints, and T joints. The increased reliability (reduced scatter) provided by the new static strength formulation was used to justify a reduction of the load factor of safety to 1.6 from the previous value of 1.7.


2017 ◽  
Vol 12 (3) ◽  
pp. 149
Author(s):  
Denny Nurkertamanda

Salah satu pekerjaan angkat angkut adalah pekerjaan menurunkan pasir dari atas truk. Dalam bekerja, pekerja menggunakan alat bantu berupa enggrong yang merupakan sekop dengan gagang pendek. Akibat penggunaan enggrong, pekerja bekerja dengan postur tubuh membungkuk. Postur kerja ini menimbulkan potensi low back pain pada pekerja. Penelitian ini merupakan penelitian cross sectional dengan jumlah sampel 9 partisipan. Tujuan dari penelitian adalah untuk mengetahui potensi risiko low back pain berdasarkan sudut kemiringan trunk ketika pekerja bekerja menurunkan pasir dengan enggrong. Sudut kemiringan trunk yang diprediksi meliputi: 1) sudut kemiringan trunk flexion, 2) sudut kemiringan trunk bending, dan 3) sudut kemiringan trunk twisting. Data postur kerja diambil dengan menggunakan kamera 3D Microsoft KinectTM dan dianalisis dengan menggunakan software Siemen Jack metode 3D Static Strength Prediction Program (3DSSPP) untuk memprediksi sudut kemiringan trunk. Hasil analisis dari ke-6 postur kerja menunjukkan postur-postur kerja yang sering dilakukan pekerja mempunyai rerata sudut kemiringan trunk flexion sebesar 61,10 ± 10,090, sudut kemiringan trunk bending sebesar 19,80 ± 6,740 dan sudut kemiringan trunk twisting sebesar 20,00 ± 9,030. Rerata sudut kemiringan trunk flexion yang mencapai 87,28 %  dari sudut kemiringan maksimal merupakan penyebab utama risiko low back pain. Sehingga dapat disimpulkan potensi terjadinya low back pain pada pekerja pasiran dapat terjadi. Perlu intervensi ergonomi untuk mencegah dan mengurangi potensi risiko terjadi low back pain pada pekerja pasiran. AbstractOne of the manual matrial handling jobs is the derivative work from the top of the truck. In working the workers use a tool that enggrong which is a short-handed shovel. Due to the use of employee enggrong work with stooped posture. This work posture raises the potential for low back pain in workers. This study is a cross sectional study with a sample of 9 participants. The purpose of research is to find potential risks of low back pain based on angle trunk when workers work sent down the sand by enggrong. Angle trunk which is predicted covering: 1 angle trunk flexion, 2) angle trunk bending, and 3) angle trunk twisting. Work posture data was taken using Microsoft KinectTM 3D camera and analyzed by using Siemen Jack 3D Static Strength Prediction Program (3DSSPP) software to predict angle trunk. The result of the analysis of the 6 work postures showed that worker's frequently employed posture had the average angle trunk flexion of 61.10 ± 10.090, angle trunk bending of 19.80 ± 6.740 and angle trunk twisting of 20.00 ± 9.030. The average angle trunk flexion at 87.28% of maximal angle is a major cause risk low back pain. So that it can be summed up the potential for low back pain on sand workers. Intervention ergonomics need to prevent and reduce potential risks happened low back pain on sand workers.


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