 Good morning everybody. I will present to you our case study digital test area outer barn. The digital test area is the project of the project class, the smart bridge. And the smart bridge is an adaptive system of continuous provision of relevant information and elevation of safety and reliability. Which are the main aspects? The recording of the significant effects and reactions in real time, the early detection of changes and problems, and the holistic evaluation of the condition during the useful life and forecast of the construction behavior. What is one thing is the supporting of the maintenance planning in terms of a predictive maintenance planning strategy. What are the main parts of the smart bridge? It's smart technology, a sense of technology. Here, the development, for example, of intelligent sensors is supported. We have done it for RFID technology, which we supported. We have the part smart assessment methods here, the modeling of the bridge, the modeling of deterioration models are important. And we have the smart maintenance management. Here, the conjunction of the visual bridge inspections is put together with data from the bridge database in Germany and the measurements and innovation of the different sensors. The digital test area outer band is a new concrete bridge. And at the Highway A9 from Frankfurt to Munich, it was built in 2016. It's pre-stressed. You can see it over here. The bridge is in kit with different vendors for the detection of the traffic load, for the climatic influence, and the reaction of the components with regard to the functionality of the individual bridge components. The conditions and the reliability of the bridge construction and its components can be determined by using analytical bridge models and innovation methods. Here, you can see which sensor systems are integrated in the bridge. The first one is the instrumented expansion joint. With this, we can detect the impact of the traffic load. This is possible by using false sensors and the calibration of the bridge after load test. Then we have the self-monitoring of the function, the draw wire gaps are used for the detection of the joint gap changes, and the acceleration sensors are used to detect the vibration. Then we have the instrumented bearing. Here, also the self-monitoring of the function as one aspect and the detection of the static load, the rotation and the displacement. Here we have false sensors. Here we have pressure sensors, which are used for the detection of the static load. We have displacement sensors. These are used for detecting the changes in the gap of the bearing, and the distance sensors are used for the rotation. Another monitoring system with the road traffic management system, with this system, the impact of the traffic loads are detected. Therefore, the strain gauges are used. The detection of the impact of traffic loads is here also possible by using a calibration during load test. And after the calibration, the number of vehicles, the vehicle speed, the axle distance, the dynamic axle load per single axle, and the total weight of the vehicles can be detected. With this system also, the pre-stressing force curve of the external tunnels can be detected. And what we also can do is detect the actual fatigue state. This is possible with the different sensors and with data processing and using a model which was being made for this bridge. Also, what can be done is the detection of the global stiffness. This is also just possible by using the bridge model. So another aspect is our center data, here the fusion of data and data elevation, and so on. It's just a different project which is focused on the digital test area. What I feel now is the flow chart for the digital test area. Here, we have the rudimental action from do nothing, retrofitting, maintenance, replacement, limit the traffic, or clothing of the bridge. We have the indicators. That's what I've said before. Impact of traffic load, climatic influence, and the structure and component reaction is detected. What we have is a set information. It's a new concrete bridge. We have all the design data. We have all the S-built information. We have the EVE, a finite element model, 3-dimensional. And we have the existing monitoring data for around about a year of all these centers that are integrated in the bridge. What's about the knowledge on decision content? The decision makers, the Federal Ministry of Transport in Germany, additional stakeholders, are the local thought authorities. And what they want is to minimize the life cycle cost and fulfill the functions in terms of safety. So what then gets to the objectives, we have the minimize the operational maintenance and inspection costs. First one, second, minimize the life service cost. Then testing new developed monitoring system just because the instrumented joint and the instrumented bearing are new developments, which were first integrated in the bridge at this bridge. And the last aspect is the marketing of the elements. What we wanted to do is to find some components for a smart bridge that we can sell to the decision maker so that they can put it into their bridge. So some kind of marketing. This leads to the optimization function. We have the life cycle cost for the minimize the operational maintenance and inspection costs and maximize the life service. We have prototype development and testing for the objective three or objective four. I don't have anything. So collect information. Here, this is a new bridge. We started just with the measuring a lot of different aspects. So now no additional measurements are planned. We don't have any problems, so this is not necessary. And what about the performance? Monitoring of the impact for the structure is one aspect. The monitoring of the reaction of the bridge and the derivation of the reliability indexes, just another aspect. Here's the Facebook post, which I will send to the working group six. They can post that. How should you organize? If you can send it to me and I will do this. You took a picture of our address. Yes, yes, yes. I will send it to you. This would be the easiest way. No, OK. So what I want to say is, yesterday we talked about it, how to work on in the future. I think we have to concentrate on only one monitoring system. I think we choose the road traffic management system. The problem is that we in our institution don't have the knowledge and the time and the money to the value of information of our own. And so we came on that perhaps Helder can get some data and he tries to do something like that. But we have to clarify how can the data be transferred? Is it possible? How can it be done? It's not possible just to load it up in a cloud. We have to talk to find a way how to can. Yes, OK, OK. So, yes. Question? What would then be the scenario? What would be the event that leads to consequences? Will you discuss about failure? That rotation? We have a brief discussion also with Arlen about, if you remember about this, Anne-Marie, when you were discussing about the prior and exterior distribution might arrive in extreme loads from the wing system that they have. So it's possible. So then you put the ultimate limit state? Yes. Then you have the prior model of the ultimate limit state from the design? Yes, from the codes. And then you can update it based on the data and get it up to the studio. But then you assume some better rotation because when you design a bridge that's new, in that case, you shouldn't be OK normally, right? Yeah, yeah. And then when you get more information, then you could actually? Well, you can consider the action of the concrete in time. So because this is for the lifetime of 100 years, it's not expected that the concrete will be used. There's a degradation model for the string. Then you measure something that has to do with the degradation? This construction is available information that they have in that domain. So for example, this is a written discussion. For this bridge, did you follow the construction of the bridge, or just installing the system after the construction? Do you mean information about the construction? Yeah, I think everything is there. Everything. So I think it's very good that you have this data and are able to share. We have an update project. So I think if you agree, we can make this even more open if it's possible. Yeah. Clearly, the data and sharing must be cleaned. Yes, I think this is the problem. Yes, yes, OK. But fine, there will be some solution. What is missing is a clear decision scenario. This is what we just found out. And I would like to see the objectives again. So this costs. It was not that easy for me to do this. No, I'm after some maximized service life. Newly developed monitoring systems. I think we can leave this out before this. Yeah, so the point here is, I think this is a very important point when we are after minimizing costs and we do SHM and we can have a prior and we can update this prior and we have an ultimate failure event. Then we have risks. So we have expected costs. We have the probability times the failure event. And this is not necessarily included here. So we need a clear decision scenario where we also address the objectives. I think this is very important. We also just wanted to also ask from the other direction, so normally decisions are made based on some ratio. Now you decided to install all this instrumentation. It costs a lot of money. Oh, yeah. Why did you do that? I just asked across the direction. The smart bridge is a project last time. We want to bring it into the bridges in Germany. But before we can say this and this components are relevant for a smart bridge, we have to test what is there on the market and what can be used. So we took several systems, put it in there, just test it against each other, which works good, which works not that good. And so in future we can have a bridge with only one of these sender systems. And then what is the criteria where you judge whether this is good or bad measurements? This is not my project. So I don't know what they decided before. If the aim would be just to find out one good system, I don't think so. Because that would be interesting to find out the utility function and then we could maybe also formulate an entirely non-structured utility. And then we can judge what is good. Because normally implicitly we would think that of course the people that signed that all this should be invested in, they had some reason for it. Therefore there should be some value of information implicitly. We will now explicitly show it. I think this is the step to take here, maybe step by step. I think it's a very good flow chart. But again we need to carefully think and find a good decision scenario so that we can, for instance, address the maintenance and inspection costs. So here you may have a prior deterioration model and you have your prior inspection intervals. If you allow for, that's another step, reliability based inspection planning, then you would see that SGM may have an influence on the inspection and maintenance costs. So we are very happy with the background. I think it's too much information, too much system, which I try to involve in this one flow chart. Yeah, no, this is fine. No, no, it's fine. It's just that we need to condense and need to recognize but there's some work required. We need to recognize what exactly fits together and how we can make something out of it. It could be risk reduction, it could be cost reduction, it could be sales life extension. We can set up these decision scenarios but we need to carefully connect what data I go in here and what's there and so on. Just a reminder because it was what you mentioned yesterday it was about also to better understand what is, if there is a life extension with this system. So if you know better the loads, you might understand better. If in fact it's 100 years of service life, I'm exaggerating this traffic note. We are fulfilling this, what is the requirement, we have more. Because I know that for example traffic load models, but using the code they have the same for all countries. So with this site specifically we can understand much better what is for these conditions, the traffic conditions. We have to think maybe a little bit out of the box. Could be also an update on the general traffic model? Exactly. There has been an impact on several decisions in this area. But I think it's the most valuable output that we can extract from the traffic system to characterize the in situ of traffic for that specific bridge. First step. It's about this bridge and this decision scenario and I think here we also need to carefully communicate what is the intention of the project you have been setting up and how can we contribute with our decision scenario to the objectives of the project you are having. So I think this is also what we need to communicate. I will look for a paper where they said why we are doing this and this in this bridge. This is a bridge where also automatically driving and everything else is tested. It's just an area where Germany, all new developments are tested. And so there's much money, there was much money to just try something out in this bridge. You have the money to test what you like. Yes, it's the technical testing. This is what you basically have covered. And what would be the most interesting thing we could contribute in this regard and maybe it's even the best to arrange a meeting on that. Could be Skype or because it looks like we have to think and to brainstorm about it. It will not be there. I think maybe we will find out that this is really a super example for some people but not negative at all. No, no, no, I don't think so. Yes, this is a problem. When we think a little bit we find something really cool and a good example. Okay. Could be the best thing with Mr. Hart just talking about it. He was really involved in this project since it started. He was working on it for one year so he has more background information so perhaps we can find a good way to work on it. Can I just ask quickly, in the indicators which you're showing, you highlight their performance, the derivation to reliability index but maybe that should go in as an indicator as well because that can be your indicator for serviceability limit sale, ultimate limit sale for T-limit sales. I think that should appear higher. Yeah, that's an impact. An indicator which you will measure. You need to get what you can calculate which then facilitates it to make a decision on what instrumentation you might use in the context of the serviceability limit sale or the fatigue limit sale or the ultimate limit sale. What instrumentation you might put in place. Yeah, but as I said, we need to have some doubts right. When we have just the ultimate limit sale from the new bridge which is very, very low, a risk that makes the demand on the accuracy of the measurement device very high. Yes. Because we are testing a very low probability. Exactly, yeah. So we need some doubts and we need some lower good abilities. Yeah, yeah, yeah. And particularly for existing bridges if we're looking at instrumenting those and strategies as well but that's why I think it should go in under the indicators because the indicator for the client is going to be that what we present to the client is the low beta value in the torsion in the state dissipation on the structure and therefore this is where we need to focus on instrumentation. Yeah, yeah. So we conclude that we will have a start meeting. Yes, we should go on in this way. Okay. We'll try to pause it for a minute. Okay.