Innovation in curriculum design at the system level is crucial for nurturing students’ sustainability skills. This study focuses on the teaching reform of a hydraulic engineering construction and management course, taking a sustainable development perspective and achieving a harmonious integration of knowledge acquisition and skill development. A “One Center, Two Platforms, and Three Education” teaching model is devised, incorporating outcome-based education and five-color psychological theory. This model encompasses a student-centered approach, leveraging the Chaoxing platform and a virtual simulation experiment platform while addressing theoretical, practical, and ideological-political education. The study participants consisted of water and hydropower engineering students at the School of Energy and Power Engineering, Xihua University. This teaching model not only enhances students’ learning motivation but also elevates their academic performance. Moreover, the model has yielded notable improvements in students’ overall quality, independent learning abilities, and innovation aptitude. The effectiveness of this teaching model in engineering courses has garnered positive feedback from both graduates and employers, who acknowledge its contribution to enhancing teaching quality and promoting sustainable development in engineering education. Furthermore, this model can serve as a reference for enhancing college education and fostering students’ abilities and ethical standards.
Water inrush in karst tunnels will cause casualties and economic losses. Thus, it is significant to objectively assess the water inrush risk level and adopt valid preventive measures to reduce losses from this disaster. The relationship between the factors affecting water inrush in the dynamic coupling system is strong nonlinear, so the attribute recognition model, which lessens the mutation points and error and causes the evaluation results to be more reasonable and accurate, is improved nonlinearly in this paper. Firstly, the assessment system was established by selecting seven factors: formation lithology, unfavorable geological conditions, attitude of rock formation, landform and physiognomy, contact zones of dissolvable and insoluble rock, layer and interlayer fissures, and groundwater level. Secondly, the multi-factor interaction matrix, C-OWA operator, and variable weight theory are used to calculate the constant weight and variable weight of each evaluation index. In addition, the linear attribute measurement function of the attribute identification model is optimized by using the non-linear trigonometric function to distinguish the risk level of the water inrush. Finally, the proposed model was successfully used in Qiyueshan Tunnel. The evaluation results of the risk level are more accurate than other methods, and they are in agreement with the excavation results. The proposed model provides a valuable reference for the risk assessment and project management of tunnel construction.
Ensuring the stability of surrounding rock is crucial for the safety of underground engineering projects. In this study, an improved fuzzy comprehensive evaluation method is proposed to accurately predict the stability of surrounding rock. Five key factors, namely, rock quality designation, uniaxial compressive strength, integrality coefficient of the rock mass, strength coefficient of the structural surface, and groundwater seepage, are selected as evaluation indicators, and a five-grade evaluation system is established. An improved analytic hierarchy process (IAHP) is proposed to enhance the accuracy of the evaluation. Using interval numbers rather than real numbers in constructing an interval judgment matrix can better account for the subjective fuzziness and uncertainty of expert judgment. Subjective and objective weights are obtained through IAHP and coefficient of variation, and the comprehensive weight is calculated on the basis of game theory principles. In addition, trapezoidal and triangular membership functions are employed to determine the membership degree, and an improved fuzzy comprehensive evaluation model is constructed. The model is then used to determine the stability of the surrounding rock based on the improved criterion. It is applied to six samples from an actual underground project in China to validate its effectiveness. Results show that the proposed model accurately and effectively predicts the stability of surrounding rock, which aligns with the findings from field investigations. The proposed method provides a valuable reference for evaluating surrounding rock stability and controlling construction risks.
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