Open Access
ARTICLE
Nian Li*
Structural Durability & Health Monitoring, Vol.13, No.4, pp. 331-346, 2019, DOI:10.32604/sdhm.2019.07521
Abstract The investigation focusing on the mechanical behaviors at the microstructural
level in composite materials can provide valuable insight into the failure
mechanisms at larger scales. A micromechanics damage model which comprises
the coupling of the matrix constitutive model and the cohesive zone (CZM) model
at fiber-matrix interfaces is presented to evaluate the transverse tensile damage
behaviors of unidirectional (UD) fiber-reinforced polymer (FRP) composites.
For the polymeric matrix that exhibits highly non-linear mechanical responses,
special focus is paid on the formulation of the constitutive model, which characterizes
a mixture of elasticity, plasticity as well as damage. The proposed constitutive
model includes… More >
Open Access
ARTICLE
Hui Wang1, Songyou Li2, Lei Liang3,*, Gang Xu4,5, Bin Tu6
Structural Durability & Health Monitoring, Vol.13, No.4, pp. 347-359, 2019, DOI:10.32604/sdhm.2019.05139
Abstract Pipelines are one of the most important modern energy transportation
methods, used especially for the transportation of certain dangerous energy media
materials such as crude oil, natural gas, and chemical raw materials. New requirements
have been put forward for the health monitoring and early security warning
of pipelines because of the large-scale and complicated development trend of the
pipe network system. To achieve an accurate assessment of the health conditions
of pipeline infrastructure, obtaining as many precise operating parameters as possible,
particularly at some critical parts of the pipeline, is necessary. Therefore, a
novel type of fiber grating strain sensor… More >
Open Access
ARTICLE
Jilei Zhou1,*, Chuansong Sun1, Xiangjun Dai1, Guohai Chen2
Structural Durability & Health Monitoring, Vol.13, No.4, pp. 361-378, 2019, DOI:10.32604/sdhm.2019.05171
Abstract The ground motions in the orientation corresponding to the strongest
pulse energy impose more serious demand on structures than that of ordinary
ground motions. Moreover, not all near-fault ground motion records present distinct
pulses in the velocity time histories. In this paper, the parameterized stochastic
model of near-fault ground motion with the strongest energy and pulse
occurrence probability is suggested, and the Monte Carlo simulation (MSC)
and subset simulation are utilized to calculate the first excursion probability of
inelastic single-degree-of-freedom (SDOF) systems subjected to these types of
near-fault ground motion models, respectively. Firstly, the influences of variation
of stochastic pulse… More >
Open Access
ARTICLE
Ibnu Rusydy1,3,*, Nafisah Al-Huda1,2, M. Fahmi4, Naufal Effendi4
Structural Durability & Health Monitoring, Vol.13, No.4, pp. 379-398, 2019, DOI:10.32604/sdhm.2019.08192
Abstract Rock slope kinematic analysis and rock mass classifications has been
conducted at the 17th km to 26th km of USAID (United States Agency for International
Development) highway in Indonesia. This research aimed to examine the
type of rock slope failures and the quality of rock mass as well. The scan-line
method was performed in six slopes by using a geological compass to determine
rock mass structure on the rock slope, and the condition of joints such as persistence,
aperture, roughness, infilling material, weathering and groundwater conditions.
Slope kinematic analysis was performed employing a stereographic
projection. The rock slope quality and… More >
Open Access
ARTICLE
A. Joshuva1,*, V. Sugumaran2
Structural Durability & Health Monitoring, Vol.13, No.4, pp. 399-416, 2019, DOI:10.32604/sdhm.2019.03014
Abstract Wind energy is considered as a alternative renewable energy source due
to its low operating cost when compared with other sources. The wind turbine is
an essential system used to change kinetic energy into electrical energy. Wind turbine
blades, in particular, require a competitive condition inspection approach as
it is a significant component of the wind turbine system that costs around 20-25
percent of the total turbine cost. The main objective of this study is to differentiate
between various blade faults which affect the wind turbine blade under operating
conditions using a machine learning approach through histogram features. In this… More >
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