The limited transferring moment capability of Glulam (glued laminated wood) joints results in insufficient joint stiffness. Therefore, most of the connections are hinged joints. Based on the previous studies, one novel end‐connection device was proposed to form prestressed continuous Glulam beams. The prestressed beams were composed of prestressed low‐relaxation steel bars, the deviator block, the anchorage device, and the novel end‐connection apparatus. These prestressed steel bars were tensioned by the deviator block to exert prestress. Then, 18 prestressed continuous beams and two prestressed simply supported beams were subject to the bending tests to explore the impact of reinforcement ratio and prestress on the prestressed Glulam beams from aspects such as failure modes, bearing capacity, load‐deflection relationship, and load‐strain relationship. The results show that, given the same prestress level, compared with beams with a reinforcement ratio of 1.92%, the bearing capacity of beams with a reinforcement ratio of 3.84% and 5.76% is increased by 20.3%–29.4% and 30.51%–36.36%, respectively. Given the same reinforcement ratios, compared with beams without prestressing, the bearing capacity of beams with a prestressing force of 7 kN and 14 kN is increased by 2.39%–10.14% and 6.49%–13.26%, respectively. In addition, compared with simply supported beams, the bearing capacity of continuous beams is increased by 40%, and the deformation is reduced by 13%. Therefore, as a novel prestressed beam, the bending performance of Glulam beams can be improved effectively.

An anchorage device is an integral part of the prestressed Glulam beams. Therefore, its rationality and practicability have significant effects on the mechanical performance of the prestressed beams. To investigate the impact of the anchorage devices on the bearing capacity and stiffness of the prestressed beams, this paper compared and analyzed four kinds of anchors in detail through the finite element software. The results showed that when the initial mid-span deflection was 5 mm, 10 mm, and 15 mm, the bearing capacity of prestressed beams with four anchorage devices was 80.37–177.24%, 93.56–182.51%, and 95.62–194.60% higher than that of ordinary Glulam beam, respectively. When the initial mid-span top prestresses were 1 MPa, 1.5 MPa, and 2 MPa, the bearing capacity of prestressed beams with four anchorage devices was 101.71–172.57%, 105.85–175.88%, and 109.64–180.87% higher than that of ordinary Glulam beam, respectively. In addition, based on the simulation results, the prestressed beam with the external anchorage had the highest bearing capacity and stiffness. The deformation capacity of the beam with boot anchorage was the largest. The stress distribution of the beam installed under beam anchorage was the most uniform, and the beam with slotted anchorage was easy to cause stress concentration at the notch. Finally, based on the outstanding performance of the external anchorage, it was selected to carry out one experiment, and the experimental result showed that the simulation could predict the damage model and load–deflection relationship of the prestressed beams well.

Numerical simulations have been widely employed to predict the blast loads for confined explosions. Although they can provide accurate predictions, high-level computational resources are usually needed. Furthermore, the numerical simulations are often lengthy. To provide a quick response to emergencies and then a quick assessment of blast risks, a fast-running model is proposed in this study to predict the blast loads in a confined room. It is based on the method of images (MOI) and the low altitude multiple burst (LAMB) addition rules. The fast-running model can predict the multiple pressure pulses, which are caused by the multiple reflections of the shock wave from the surfaces of the confined room. Numerical models are developed to predict the internal blast loads. They are validated against the experimental data. After validation, numerical simulations are conducted to provide a reference for the evaluation of the accuracy of the fast-running model. It is shown that reasonable accuracy can be achieved by the fast-running model concerning the overpressure-time history, the arrival time, the first peak overpressure and the maximum impulse. Furthermore, the fast-running model has a significantly lower requirement of hardware resources and exhibits a much higher computational efficiency than the numerical model. The fast-running model provides a very fast and efficient method to predict the internal blast loads. It can be used to eliminate the need for a user to run a numerical simulation to determine the blast loads generated from confined explosions.