Structural health monitoring has been widely used during the past decades to evaluate the safety of Structural assets, detect damages at an early stage, and prevent unexpected and costly damages. The research works in this field are often concerned with bridges and buildings and little research has been conducted on Structural health monitoring of power plant infrastructures such as machine foundations. The turbo generator, also referred to as the heart of the power plant, is supported by massive concrete foundations in the turbine hall of thermal power plants. Most TG foundations in thermal power plants are at or close to their design age. The reports on Structural damages in thermal power plants show that cracks are frequently observed on the beams and columns of frame-type TG foundations. It is probably the most appropriate time for developing vigorous methods for health monitoring of power plant structures to extend their reliability and life span. This paper uses the vibration-based approach for damage detection of TG foundations. Analytical mode decomposition (AMD) and experimental mode decomposition (EMD) methods are both used for modal parameter identification. A genetic algorithm is further used for finite element model updating and damage detection. The performance of the method is investigated using a 3-D finite element model of a frame-type TG foundation.

Background and Aim: The aim of this study was Structural monitoring of the articles in knowledge and information science field in five Iranian journals. Today, the publication of papers constitutes one of the written scope among scientific broad cost productions.Materials and Methods: The research method was analytical-survey. The articles were analyzed by the variables such as author distribution by sex, field of study, scientific notation, types of articles by original papers or translated papers, individual or group articles and their publication dates, and by statistical methods used in the articles in two periods from 2002-2006 and 2007-2011.Results: The results showed that most of the articles were written as original. International cooperation between authors was minimal. Using qualitative research methods among the articles were low. Majority of the authors had masters degree. There was a significant relationship between the authors’ grades, number of authors and journals, and used statistical methods.Conclusion: The written articles in the field of knowledge and information, followed by special patterns. The journals policies in publication of articles process is the most important issue. Also, lack of international cooperation between Iranian with foreign authors, type and format of the articles were similar according to mentioned variations.

Structural health monitoring is becoming more reliable as technology advances. Many structures are in use throughout cities and environments that require constant attention due to fatigue of corrosion and environmental effects such as floods, earthquakes, or strong winds. This means that with the advent of new damage detection techniques, authorities can make sure that these vital Structural elements, such as road signs or traffic lights and so on, are safe. The important key to these techniques is that they must be simple and relatively inexpensive. Therefore, an attempt was made to use techniques in medical practice and adapt those to Structural members. In this article, the effectiveness of X-ray computed tomography in the inspection of urban structures and building structures is discussed. X-ray tomography is a non-destructive method based on X-ray absorption, widely used in the medical field. By using this method, it is possible to study and examine the internal structure of old structures to fix defects and maintain the safety of residents, as well as to maintain them as best as possible. For example, urban structures such as electric poles and traffic signs cause financial losses or even deaths due to natural hazards or wear and tear every year. One of the features of this method is its high accuracy and speed in checking the member. Considering the capabilities of this method, in this research, a baggage inspection device at the MehrAbad airport was used to examine a number of concrete and wooden samples to identify defects such as cracks, holes, or knots in wooden samples. The investigation results are directly related to the device's power and the duration of radiation used on the sample. According to the results, defects such as cracks in concrete or knots in wood can be observed.

In the past twenty-five years, Structural health monitoring (SHM) has become an increasingly significant topic of investigation in the civil and Structural engineering research community. An SHM schema involves three main steps: (a) measurement and acquisition of signals related to the Structural response, (b) signal processing consisting of pre-processing and feature extraction employing nonlinear measurements, and (c) interpretation using machine learning. This article presents a review of recent journal articles on nonlinear measurements used for feature extraction in SHM of building and bridge structures. It also reviews three recently-developed nonlinear indexes with potential applications in SHM.

Nowadays, office, residential, and historic buildings often require special monitoring. Obviously, such monitoring involves costs, errors and challenges. As a result of factors such as lower cost, broader application, and ease of installation, wireless sensor networks are frequently replacing wired sensor networks for Structural health monitoring. Depending on the type and condition of a structure, factors such as energy consumption and accuracy, as well as fault tolerance are important. Particularly when wireless sensor networks are involved, these are ongoing challenges which, despite research, have the possibility of being improved. Using the Markov decision process and wake-up sensors, this paper proposes an innovative approach to monitoring stable and semi-stable structures, reducing the associated cost and error over existing methods, and according to the problem, we have advantages both in implementation and execution. Thus, the proposed method uses the Markov decision process and wake-up sensors to provide a new and more efficient technique than existing methods in order to monitor the health of stable and semi-stable structures. This approach is described in six steps and compared to widely used methods, which were tested and simulated in CupCarbon simulation environment with different metrics, and shows that the proposed solution is better than similar solutions in terms of a reduction of energy consumption from 11 to 70%, fault tolerance in the transferring of messages from 10 to 80%, and a reduction of cost from 93 to 97%.

The main aim of the current paper is to identify and analyze the "Structural" and "professional" obstacles of media monitoring over the government and governmental organizations of Iran. This research is a kind of applied-exploratory study. The study has applied qualitative method (in-depth interview with journalists and public relations professionals), for data gathering and purposive sampling method for selecting samples. Research results show that the most important cultural obstacles are "secrecy" and "fear" of transparency in Iranian culture, acclaim of praise, the fear of criticism among Iranians. Political obstacles are secrecy in the media due to the heavy shadow of politics, the government officials’ attitude toward the media as a tool serving their purposes, the government intervention in all of media affairs, media mostly belonging to the government, political treatment of the media, the partisan functionality of the media, and the politician’ s engagement in the media management. Also the most important legal obstacles are the need to obtain a license for media activities, the breadth of exceptions and red lines of informing, and the most important economic obstacles are the government's presence in the media economy, lack of financial independence in the media, bribery of reporters, inequality competitive conditions between the governmental and non-governmental media. Also the most important obstacles within government organizations include the ownership approach of government to information, aidem nmb ab government meetings, considering media criticism as aggressive and misdeed catcher by the government managers. Finally, the most important internal media obstacles include media self-censorship, the presence of young and inexperienced people in the media, lack of recognition of investigative journalism, dominance of event-oriented approach instead of process-oriented approach