人工破拆是破拆钢筋混凝土结构的重要手段之一。该作业姿势特殊，负荷大，时间长，伴随强烈振动，容易引发作业人员肌肉疲劳，甚至导致肌肉骨骼疾患。现有研究未系统分析人工破拆作业肌肉疲劳，也未构建其预测模型，而现有肌肉疲劳预测模型都未考虑振动因素，以致其对该作业之可适用性高度存疑。针对上述问题，依据人工破拆手持振动工具作业特征分析影响其肌肉疲劳的因素，设计模拟人工破拆作业实验，基于受力、肌电与振动等客观测量数据，以及主观疲劳评分数据，研究静态作业肌肉疲劳特征及发展规律，构建引入振动及姿势等参数的静态肌肉疲劳预测模型；其次，以静态研究为基础，划分工作单元，基于关节层面受力分析研究动态作业肌肉疲劳，构建引入关联参数的动态肌肉疲劳预测模型；最后，对构建的预测模型进行理论与实验验证与修正。研究成果可为人工破拆作业训练改进、现场作业人力配置及作业组织提供指导，缓解作业人员肌肉疲劳，降低肌肉骨骼损伤风险。

Manual demolition is one of the primary tasks to demolish concrete-steel constructions. Physical hazardous conditions such as awkward posture, high physical workload, long working time period and vibration from the demolition devices lead to muscular fatigue and even musculoskeletal disorders. Muscular fatigue and its predicting model in manual demolition tasks haven’t been explored. Vibration factor also hasn’t been considered when constructing the muscular fatigue prediction models. The applicability of existing prediction models for manual demolition tasks is highly questionable. Therefore, this research focuses on the muscular fatigue in tasks of manual demolition with hand-held power tools. At first, factors influencing muscular fatigue of manual demolition tasks will be analyzed and simulated manual demolishing experiments will be designed. Objective data, such as force, surface electromyography, vibration and subjective ratings of perceived exertion obtained from simulated demolishing experiment will be used to explore the characteristics and the development of muscular fatigue in static tasks. Also, static prediction models for muscular fatigue considering vibration, working posture and other parameters will be established. Then, based on the static muscular fatigue research results, static units will be divided for dynamic manual demolition tasks and then the muscular fatigue will be analyzed according to force analysis from facet joint.Dynamic muscular fatigue models introducing relevance parameter may be constructed. At last, experiments and theoretical analysis will be carried out to validate and refine our models. The outcomes of this study will provide benefits in optimizing training program, reasonable crew allocation and work schedule in manual demolition missions, releasing the muscular fatigue and reducing the risk of musculoskeletal disorders.