Rescalvo Francisco J, Valverde-Palacios Ignacio, Suarez Elisabet, Roldán Andrés, Gallego Antolino
Department of Applied Physics, University of Granada, Campus Fuentenueva s/n, 18071 Granada, Spain.
Department of Building Constructions, University of Granada, Campus Fuentenueva s/n, 18071 Granada, Spain.
Sensors (Basel). 2018 Apr 17;18(4):1224. doi: 10.3390/s18041224.
This paper proposes the monitoring of old timber beams with natural defects (knots, grain deviations, fissures and wanes), reinforced using carbon composite materials (CFRP). Reinforcement consisted of the combination of a CFRP laminate strip and a carbon fabric discontinuously wrapping the timber element. Monitoring considered the use and comparison of two types of sensors: strain gauges and multi-resonant acoustic emission (AE) sensors. Results demonstrate that: (1) the mechanical behavior of the beams can be considerably improved by means of the use of CFRP (160% in bending load capacity and 90% in stiffness); (2) Acoustic emission sensors provide comparable information to strain gauges. This fact points to the great potential of AE techniques for in-service damage assessment in real wood structures.
本文提出对带有天然缺陷（节疤、纹理偏差、裂缝和缺棱）的旧木梁进行监测，这些木梁使用碳复合材料（CFRP）进行加固。加固方式是将CFRP层压板条和碳织物间断地包裹在木材构件上相结合。监测考虑了两种类型传感器的使用和比较：应变片和多谐振声发射（AE）传感器。结果表明：（1）通过使用CFRP，梁的力学性能可得到显著改善（抗弯承载能力提高160%，刚度提高90%）；（2）声发射传感器提供的信息与应变片相当。这一事实表明AE技术在实际木结构服役期损伤评估方面具有巨大潜力。
