modelling of crack propagation by finite element method under mixed mode conditions is of prime importance in fracture mechanics. this paper describes an application of finite element method to the analysis of mixed mode crack growth in linear elastic fracture mechanics. crack growth process is simulated by an incremental crack-extension analysis based on the maximum principal stress criterion,...

OBJECTIVES HIV prevalence among people who inject drugs (PWID) in Ottawa is estimated at about 10%. The successful integration of peers into outreach efforts and wider access to HIV point-of-care testing (POCT) create opportunities to explore the role of peers in providing HIV testing. The PROUD study, in partnership with Ottawa Public Health (OPH), sought to develop a model for community-based...

OBJECTIVE To examine relationships between parenting behaviors, parent-child relationship, and moderating effects of age on youth substance use among a community sample of African-American mothers who use crack cocaine and their children (12-17 years). METHODS Maternal-child dyads (n = 208) were recruited through street outreach and snowball sampling and completed interviews about substance u...

This paper conducts a comparison study to evaluate the performance of state art crack detection algorithms quantitatively and objectively. A more comprehensive annotated pavement dataset (NHA12D) that contains images with different viewpoints pavements types is proposed. In study, were trained equally on largest public collected evaluated proposed (NHA12D). Results: models generally fail distin...

Crack detection plays a pivotal role in structural health monitoring. Deep convolutional neural networks (DCNN) provide way to achieve image classification efficiently and accurately due their powerful processing ability. In this paper, we propose semi-supervised learning method based on DCNN anomaly crack detection. the proposed method, training set for network only requires small number of no...

Abstract: In this research, at first, the natural frequencies of a cracked beam are obtained analytically, then, location and depth of a crack in beam is identified by neural network method. The research is applied on a beam with an open crack for three different boundary conditions. For this purpose, at first, the natural frequencies of the cracked beam are obtained analytically, to get the ex...