Influence of Size and Proximity of Paint Coating Defects on Corrosion Behavior of Carbon Steel Plates

2015 ◽  
Vol 665 ◽  
pp. 125-128 ◽  
Author(s):  
Shigenobu Kainuma ◽  
Young Soo Jeong ◽  
Junji Kobayashi
Keyword(s):  
Corrosion Behavior ◽  
Salt Water ◽  
Steel Structures ◽  
Steel Plates ◽  
Coated Steel ◽  
Wetting And Drying ◽  
Single Defect ◽  
Steel Members ◽  
Water Wetting ◽  
Circular Defect

To ensure the safety of painted steel structures, it is important to evaluate the influence of the size and proximity of coating defects on corrosion behavior. In this research, accelerated exposure tests were carried out using combined corrosion cycles, which consisted of exposure to atomizing salt water, wetting, and drying with hot and warm wind. The test specimens were paint-coated steel plates with individual circular machined coating defects 1, 3, 10, and 15 mm in diameter. Multi-circular defects 1 mm in diameter were also created in the specimens. The test results indicate that the mean and maximum corrosion depths increased with increasing diameter of the single defect of the coated steel plate. When actual coated steel members are exposed to corrosive chloride environments such as those represented by the corrosion cycle testing conducted in this research, the corrosion depth for multi-circular defects 1 mm in diameter appears to be 1.5 to 2.5 times greater than that for a single-circular defect.

scholarly journals Corrosion Behavior of Coated Steel Plates with Defects Exposed to Marine Environment

2009 ◽  
Vol 58 (5) ◽  
pp. 437-442 ◽  
Author(s):  
Marish MADLANGBAYAN ◽  
Nobuaki OTSUKI ◽  
Tsuyoshi SAITO ◽  
Aung Kyaw MIN
Keyword(s):  
Corrosion Behavior ◽  
Marine Environment ◽  
Steel Plates ◽  
Coated Steel

scholarly journals Surface Rust Detection Using Ultrasonic Waves in a Cylindrical Geometry by Finite Element Simulation

2018 ◽  
Vol 3 (3) ◽  
pp. 29 ◽  
Author(s):  
Qixiang Tang ◽  
Cong Du ◽  
Jie Hu ◽  
Xingwei Wang ◽  
Tzuyang Yu
Keyword(s):  
Finite Element ◽  
Early Stage ◽  
Steel Corrosion ◽  
Steel Structures ◽  
Potential Method ◽  
Ultrasonic Waves ◽  
Steel Plates ◽  
Fiber Optic Sensor ◽  
Surface Corrosion ◽  
Steel Members

Detection of early-stage corrosion on slender steel members is crucial for preventing buckling failures of steel structures. An active photoacoustic fiber optic sensor (FOS) system is reported herein for the early-stage steel corrosion detection of steel plates and rebars using surface ultrasonic waves. The objective of this study is to investigate a potential method for detecting surface corrosion/rust of steel rods using numerically simulated surface ultrasonic waves. The finite element method (FEM) was applied in the simulation of propagating ultrasonic waves on steel rod models. The pitch-catch mode of damage detection was adopted, in which one source (transmitter) and one sensor (receiver) were considered. In this research, radial displacements at the receiver were simulated and analyzed by short-time Fourier transform (STFT) for detecting, locating, and quantifying surface rust located between the transmitter and the receiver. From our time domain and frequency domain analyses, it was found that the presence, location, and dimensions (length, width, and depth) of surface rust can be estimated by ultrasonic wave propagation.

scholarly journals Surface Rust Detection Using Ultrasonic Waves in a Cylindrical Geometry by Finite Element Simulation

2018 ◽  
Author(s):  
Qixiang Tang ◽  
Cong Du ◽  
Jie Hu ◽  
Xingwei Wang ◽  
Tzuyang Yu
Keyword(s):  
Finite Element ◽  
Early Stage ◽  
Steel Corrosion ◽  
Steel Structures ◽  
Ultrasonic Waves ◽  
Steel Plates ◽  
Surface Corrosion ◽  
Steel Members ◽  
Length Width ◽  
Simulated Surface

Detection of early stage corrosion on slender steel members is crucial for preventing buckling failures of steel structures. An active photoacoustic fiber optic sensors (FOS) system has been reported for early stage steel corrosion detection of steel plates and rebars using surface ultrasonic waves. The objective of this paper is to investigate the surface corrosion/rust detection problem on steel rods using numerically simulated surface ultrasonic waves. The finite element method (FEM) is applied in simulating the propagation of ultrasonic waves on steel rod models. Transmission mode of damage detection is adopted, in which one source (transmitter) and one sensor (receiver) are considered. In this research, radial displacements at the receiver were simulated and analyzed by short-time Fourier transform (STFT) for detecting, locating, and quantifying a surface rust located between the transmitter and the receiver. From our time domain and frequency domain analyses, it is found that the presence, location, and dimensions (length, width, and depth) of surface rust can be estimated by ultrasonic waves propagating through the surface rust.

scholarly journals Evaluation of Tensile Performance of Steel Members by Analysis of Corroded Steel Surface Using Deep Learning

Metals ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 1259 ◽  
Author(s):  
Pang-jo Chun ◽  
Tatsuro Yamane ◽  
Shota Izumi ◽  
Toshihiro Kameda
Keyword(s):  
Deep Learning ◽  
Domain Knowledge ◽  
Steel Structures ◽  
Shell Element ◽  
Effective Thickness ◽  
Steel Plates ◽  
Structural Members ◽  
Steel Members ◽  
High Level ◽  
The Cost

To conduct safety checks of corroded steel structures and formulate appropriate maintenance strategies, the residual strength of steel structural members must be assessed with high accuracy. Finite element method (FEM) analyses that precisely recreate the morphology of corroded surfaces using solid elements are expected to accurately assess the strength; however, the cost of conducting these calculations is extremely high. Therefore, a model that uses mean thickness as the thickness of the shell element is widely used but this method has precision issues, particularly regarding overestimation of risk. Thus, this study proposes a method of structural analysis in which the effective thickness of a shell element is assessed using the convolutional neural network (CNN), a type of deep learning performed on tensile structural members. An FEM model is then built based on the shell element that uses this effective thickness. We cross-validated this method by adding a feature extraction layer that reflects the domain knowledge, together with convolutional and pooling layers that are commonly used for CNN and found that a high level of accuracy could be achieved. Furthermore, regarding corroded steel plates and H-section steel, our method demonstrated results that were extremely close to those of models that used solid elements.

scholarly journals Investigations on arc brazing for galvanized heavy steel plates in steel and shipbuilding

2021 ◽  
Author(s):  
Philipp Andreazza ◽  
Andreas Gericke ◽  
Knuth-Michael Henkel
Keyword(s):  
Low Cost ◽  
Thin Sheet ◽  
Steel Structures ◽  
Tensile Tests ◽  
Fatigue Tests ◽  
Steel Plates ◽  
Galvanized Steel ◽  
Filler Materials ◽  
Static Tensile ◽  
Brazed Joints

AbstractArc brazing with low-melting copper-based filler materials, which has long been established and standardized in the thin sheet sector, offers numerous advantages in the processing of predominantly electrolytically galvanized steel structures. In steel and shipbuilding, on the other hand, equipment parts made of thick steel sheets are hot-dip galvanized at low cost and with good corrosion-inhibiting properties. Quality welding of such constructions is not possible without special precautions such as removing the zinc layer and subsequent recoating. With regard to greater plate thicknesses, arc brazing was analyzed in these investigations as an alternative joining method with regard to its suitability for practical use. Within the scope of the investigations, CuSi3Mn, CuMn12Ni2, and four different aluminum bronzes were examined on different sheet surface conditions with regard to the geometrical and production parameters. This was carried out by build-up and connection brazing, executed as butt and cross joints. Quasi-static tensile tests and fatigue tests were used to assess the strength behavior. In addition, metallographic analyses are carried out as well as hardness tests. The suitability for multi-layer brazing and the tendency to distortion were also investigated, as well as the behavior of arc brazed joints under corrosive conditions.

Evaluation Method for Time-Dependent Corrosion Behavior of Carbon Steel Plate Using Atmospheric Corrosion Monitoring Sensor

2009 ◽  
Vol 417-418 ◽  
pp. 417-420 ◽  
Author(s):  
Shigenobu Kainuma ◽  
Kunihiro Sugitani ◽  
Yoshihiro Ito ◽  
In Tae Kim
Keyword(s):  
Carbon Steel ◽  
Corrosion Behavior ◽  
Atmospheric Corrosion ◽  
Evaluation Method ◽  
Steel Plates ◽  
Time Dependent ◽  
Corrosion Monitoring ◽  
Corrosion Sensor ◽  
Atmospheric Exposure ◽  
Corrosive Environments

The purpose of this research is to propose a method for evaluating the time-dependent corrosion behavior of carbon steel plates using an atmospheric corrosion monitor (ACM) corrosion sensor consisting of a Fe/Ag-galvanic couple. Atmospheric exposure tests were carried out on steel　plates for periods of 6, 12, and 24-months on the island of Okinawa in Japan. The Specimens were mounted on racks at angles of 0, 45 and 90 to the horizontal to obtain corrosion data in various corrosive environments. In addition, the environments of the skyward- and groundward-facing surfaces of the specimens were monitored using ACM sensors. The sensor outputs were recorded during the exposure tests.

scholarly journals FUNDAMENTAL STUDY ON EVALUATION FOR TIME-DEPENDENT CORROSION BEHAVIOR OF LONG STEEL MEMBERS IN MARINE ENVIRONMENT

2009 ◽  
Vol 65 (2) ◽  
pp. 440-453 ◽  
Author(s):  
Shigenobu KAINUMA ◽  
Naofumi HOSOMI ◽  
Atsushi GOTO ◽  
Yoshito ITOH
Keyword(s):  
Corrosion Behavior ◽  
Marine Environment ◽  
Time Dependent ◽  
Fundamental Study ◽  
Steel Members

scholarly journals Experimental Study on the Behavior of Tension Member Under Rupture

2021 ◽  
Keyword(s):  
Experimental Study ◽  
Tensile Force ◽  
Steel Structure ◽  
Steel Structures ◽  
Structural Members ◽  
Steel Members ◽  
Tension Member ◽  
Strong Relation ◽  
Almost All ◽  
Tension Members

Abstract. A steel structure is naturally lighter than a comparable concrete construction because of the higher strength and firmness of steel. Nowadays, the growth of steel structures in India is enormous. There are so many advantages in adopting the steel as structural members. Almost all high-rise buildings, warehouses & go-downs are steel structures and even some of the commercial buildings are made of steel. Tension members are the elements that are subjected to direct axial load which tends in the elongation of the structural members. Even today bolted connections play a major role in the connection of hot rolled structural steel members. In this experimental study the behavior of tension members (TM) such as plates, angles & channels have been studied under axial tensile force. There is strong relation between pitch and gauge (with in the specified limit as per IS 800:2007) in determining the rupture failure plane. In this study we intensively tested the behaviour of TM for different fasteners pattern by changing the pitch, gauge, end & edge distance and by adopting the different patterns or arrangements of bolted connection in it.

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