Detection of Internal Defects in Concrete Members Using Global Vibration Characteristics

Rock-pocket and honeycomb defects impair overall stiffness, accelerate aging, reduce service life, and cause structural problems in hardened concrete members. Traditional methods for detecting such deficient volumes involve visual observations or localized nondestructive methods, which are labor-intensive, time-consuming, highly sensitive to test conditions, and require knowledge of and accessibility to defect locations. The authors propose a vibration response-based nondestructive technique that combines experimental and numerical methodologies for use in identifying the location and severity of internal defects of concrete members. The experimental component entails collecting mode shape curvatures from laboratory beam specimens with size-controlled rock pocket and honeycomb defects, and the numerical component entails simulating beam vibration response through a finite element (FE) model parameterized with three defect-identifying variables indicating location (x, coordinate along the beam length) and severity of damage (alpha, stiffness reduction and beta, mass reduction). Defects are detected by comparing the FE model predictions to experimental measurements and inferring the low number of defect-identifying variables. This method is particularly well-suited for rapid and cost-effective quality assurance for precast concrete members and for inspecting concrete members with simple geometric forms.

Thought-Action Fusion and Neutralization Behavior

This study presents a new inventory to assess thought-action fusion (TAF). 160 college students ages 18 to 22 (M = 19.17, SD = 1.11) completed the new Modified Thought Action Scale (MTAFS). Results indicated high internal consistency in the MTAFS (Cronbach’s α = .95). A principal component analysis suggested a three factor solution of TAF-Moral (TAFM), TAFLikelihood (TAFL), and TAF-Harm avoidance-Positive (TAFHP) all with eigenvalues above 1, and factor loadings above .4. A second study examined the association between TAF, obsessivecompulsive and anxiety tendencies after the activation of TAF-like thought processes in a nonclinical sample (n=76). Subjects were randomly assigned to one of three treatment groups intended to provoke TAFL-self, TAFL-other, and TAF moral thought processes. Stepwise regression analyses revealed: 1) the Obsessive-Compulsive Inventory subscales Neutralizing and Ordering significantly predicted instructed neutralization behavior (INB) in non-clinical participants; 2) TAF-Likelihood contributed significant unique variance in INB. These findings suggest that the provocation of neutralization behavior may be mediated by specific subsets of TAF and obsessive-compulsive tendencies.