• Korean Journal of Microbiology
• /
• v.37 no.1
• /
• pp.72-79
• /
• 2001

The effect of phenol on the change of bacterial community in the effluent water from a wastewater treatment plant was analyzed by PCR and terminal restriction fragment length polymorphism (T-RFLP). The fragments of 16S rDNA were amplified by PCR with bacterial primers, where one of the primers was biotinylated at the 5'-end. After digestion with restriction enzymes, HaeIII and AluI, the biotinylated terminal restriction tragments (T-RFs) of the digested products were selectively isolated by using streptavidin paramagnetic particles. The single-stranded DNA of T-RFs was separated by electrophoresis on a polyacrylamide gel and detected by silver staining technique. When 10 standard strains were analyzed by our method, each strain had a unique T-RF which corresponded to the calculated size from the known sequences of RDP database. The T-RFLP fingerprint generated from the effluent water was very complex, and the predominant T-RFs corresponded to members of the genus Acinetobacter, Bacillus and Pseudomonas. In addition, the perturbation of bacterial community was observed when phenol was added to the sample at the final concentration of 250 $l^{-1}$. The number of T-RFs increased and the major bacterial population could be assigned to the genus Acinetobacter, Comamonas, Cytophaga and Pseudomonas. A intense band assigned to the putative genera of Acinetobacter and Cytophaga was eluted, amplified, and sequenced. The nucleotide sequence of the T-RF showed close relationship with the sequence of Acinetobacter junii.

• Journal of Korean Society of Steel Construction
• /
• v.20 no.1
• /
• pp.21-31
• /
• 2008

response surface method (RSM) is widely used to evaluate th e extremely smal probability of ocurence or toanalyze the reliability of very complicated structures. Althoug h Monte-Carlo Simulation (MCS) technique can evaluate any system, the procesing time of MCS dependson the reciprocal num ber of the probability of failure. The stochastic finite element method could solve thislimitation. However, it is limit ed to the specific program, in which the mean and coeficient o f random variables are programed by a perturbation or by a weigh ted integral method. Therefore, it is not aplicable when erequisite programing. In a few number of stage analyses, RSM can construct a regresion model from the response of the c omplicated structural system, thus, saving time and efort significantly. However, the acuracy of RSM depends on the dist ance of the axial points and on the linearity of the limit stat e functions. To improve the convergence in exact solution regardl es of the linearity limit of state functions, an improved adaptive response surface method is developed. The analyzed res ults have ben verified using linear and quadratic forms of response surface functions in two examples. As a result, the be st combination of the improved RSM techniques is determined and programed in a numerical code. The developed linear adapti ve weighted response surface method (LAW-RSM) shows the closest converged reliability indices, compared with quadratic form or non-adaptive or non-weighted RSMs.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.29 no.1A
• /
• pp.61-73
• /
• 2009

In this paper, hybrid health monitoring techniques using acceleration-impedance features are newly proposed to detect two damage-type in steel plate-girder bridges, which are girder's stiffness-loss and support perturbation. The hybrid techniques mainly consists of three sequential phases: 1) to alarm the occurrence of damage in global manner, 2) to classify the alarmed damage into subsystems of the structure, and 3) to estimate the classified damage in detail using methods suitable for the subsystems. In the first phase, the global occurrence of damage is alarmed by monitoring changes in acceleration features. In the second phase, the alarmed damage is classified into subsystems by recognizing patterns of impedance features. In the final phase, the location and the extent of damage are estimated by using modal strain energy-based damage index method and root mean square deviation (RMSD) method. The feasibility of the proposed hybrid technique is evaluated on a laboratory-scaled steel plate-girder bridge model for which hybrid acceleration-impedance signatures were measured for several damage scenarios. Also, the effect of temperature on the accuracy of the impedance-based damage monitoring results are experimentally examined from combined scenarios of support damage cases and temperature changes.